Project 2: AutoEncoders and GANs¶
This project involves using an AutoEncoder, Variational Autoencoder and a GAN. The data is the Y. Isaienkov LEGO Minigfigures pictures dataset. It has been split into train and test data, the train data having 4 different franchises (Star Wars, Harry Potter, Marvel and Jurassic World) and the test data has pictures from every franchise. In total, there are 494 pictures, 415 in train and 79 in test, so ~16% is test data.
Table of Contents¶
Import ¶
In [1]:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import seaborn as sns
import os
import random
import torchvision
import cv2
from datasets import load_dataset
import optuna
%matplotlib inline
C:\Users\rvaal\anaconda3\envs\GAN\Lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html from .autonotebook import tqdm as notebook_tqdm
In [2]:
from torchvision import transforms
from torchvision.datasets import ImageFolder
from torch.utils.data import Dataset,DataLoader
from PIL import Image
In [3]:
from helper_train import train_autoencoder_v1,train_vae_v1
from helper_utils import set_deterministic, set_all_seeds
from helper_plotting import plot_training_loss
from helper_plotting import plot_generated_images,plot_latent_space_with_labels
from helper_stuff import *
In [4]:
import torch
import torch.nn as nn
import cv2 as cv
import torch.nn.functional as F
from albumentations.pytorch import ToTensorV2
import torchvision.transforms.functional as TF
import tensorflow as tf
import albumentations as A
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
device
Out[4]:
device(type='cuda')
From previous run:
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 1.5079571870971633e-05, 'lr_discr': 8.667730309028803e-05, 'batch_size': 20, 'num_epochs': 7}
From current run:
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}
In [ ]:
# Hyperparameters
RANDOM_SEED = 123
LEARNING_RATE = 0.0005
BATCH_SIZE = 30
NUM_EPOCHS = 30
GAN_EPOCHS = 50
GENERATOR_LEARNING_RATE = 0.001221490964348859
DISCRIMINATOR_LEARNING_RATE = 0.0003257527184873621
IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS = 224, 224, 3
VALID_SIZE = 0.3
IMAGE_SIZE = (512,512)
TRAIN_BATCH_SIZE = 16
VALID_BATCH_SIZE = 1
TEST_BATCH_SIZE = 1
In [6]:
set_deterministic
set_all_seeds(RANDOM_SEED)
Dataset ¶
In [7]:
import kagglehub
# Importing the dataset
# Download latest version
path = kagglehub.dataset_download("ihelon/lego-minifigures-classification")
print("Path to dataset files:", path)
Path to dataset files: C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30
In [8]:
BASE_DIR = r"C:\Users\rvaal\.cache\kagglehub\datasets\ihelon\lego-minifigures-classification\versions\30"
PATH_INDEX = os.path.join(BASE_DIR, "index.csv")
PATH_TEST = os.path.join(BASE_DIR, "test.csv")
PATH_METADATA = os.path.join(BASE_DIR, "metadata.csv")
In [9]:
df_train = pd.read_csv(PATH_INDEX)
df_train = df_train.reset_index()
df_train
Out[9]:
| index | path | class_id | |
|---|---|---|---|
| 0 | 0 | marvel/0001/001.jpg | 1 |
| 1 | 1 | marvel/0001/002.jpg | 1 |
| 2 | 2 | marvel/0001/003.jpg | 1 |
| 3 | 3 | marvel/0001/004.jpg | 1 |
| 4 | 4 | marvel/0001/005.jpg | 1 |
| ... | ... | ... | ... |
| 366 | 366 | star-wars/0017/006.jpg | 38 |
| 367 | 367 | star-wars/0017/007.jpg | 38 |
| 368 | 368 | star-wars/0017/008.jpg | 38 |
| 369 | 369 | star-wars/0017/009.jpg | 38 |
| 370 | 370 | star-wars/0017/010.jpg | 38 |
371 rows × 3 columns
In [10]:
df_test = pd.read_csv(PATH_INDEX)
In [11]:
df_train["path"]= df_train["path"].str.replace("/","\\") # replacing forward slash with backslash, so that it is possible to load the images
In [12]:
from PIL import Image
example = Image.open(BASE_DIR + "\\"+df_train["path"][0]) # Path to the first image, in this case the first Marvel image
example
Out[12]:
Dataset Generation ¶
Because the dataset only includes 500 images, we have to generate new images so that the autoencoder has something to train on.
In [13]:
# Read information about dataset
from sklearn import model_selection as sk_model_selection
tmp_train, tmp_valid = sk_model_selection.train_test_split(
df_train,
test_size=VALID_SIZE,
random_state=RANDOM_SEED,
stratify=df_train['class_id'],
)
def get_paths_and_targets(tmp_df):
# Get file paths
paths = tmp_df["path"].values
# Create full paths (base dir + concrete file name)
paths = list(map(lambda x: os.path.join(BASE_DIR, x), paths))
# Get labels
targets = tmp_df["class_id"].values
return paths, targets
# Get train file paths and targets
train_paths, train_targets = get_paths_and_targets(tmp_train)
# Get valid file paths and targets
valid_paths, valid_targets = get_paths_and_targets(tmp_valid)
df_test = pd.read_csv(PATH_TEST)
# Get test file paths and targets
test_paths, test_targets = get_paths_and_targets(df_test)
In [14]:
def get_train_transforms():
return A.Compose(
[
A.Affine(
p=1,
translate_percent=(-0.2, 0.2),
rotate=(-20, 20),
scale = (0.9,1),
border_mode=4
),
A.CoarseDropout(
p=0.8,
num_holes_range = (1,50),
hole_height_range=(1, 10),
hole_width_range=(1, 10),
),
A.CoarseDropout(
p=0.8,
num_holes_range = (1,30),
hole_height_range=(10, 10),
hole_width_range=(10, 10),
fill=255,
),
A.HorizontalFlip(p=0.6),
A.Illumination(
mode='linear',
intensity_range=(0.01, 0.2),
effect_type='brighten',
angle_range=(0, 10)
),
A.Blur(p=0.6),
A.RandomBrightnessContrast(p=1,
brightness_limit=0.1,
contrast_limit=0.1,
),
A.RandomGamma(gamma_limit=(95, 105),p=0.6),
A.ToFloat(),
A.LongestMaxSize(IMAGE_HEIGHT),
ToTensorV2(transpose_mask=False, p=1.0),
],
p=1.0
)
def get_rest_transforms():
return A.Compose(
[
A.LongestMaxSize(IMAGE_HEIGHT),
ToTensorV2(transpose_mask=False, p=1.0),
],
p=1.0
)
In [15]:
train_generator = DataGenerator(
train_paths,
train_targets,
batch_size=TRAIN_BATCH_SIZE,
image_size=IMAGE_SIZE,
shuffle=True,
transforms=get_train_transforms(),
)
# Initialize the valid data generator
valid_generator = DataGenerator(
valid_paths,
valid_targets,
image_size=IMAGE_SIZE,
batch_size=VALID_BATCH_SIZE,
shuffle=False,
transforms=get_rest_transforms(),
)
# Initialize the test data generator
test_generator = DataGenerator(
test_paths,
test_targets,
image_size=IMAGE_SIZE,
batch_size=TEST_BATCH_SIZE,
shuffle=False,
transforms=get_rest_transforms(),
)
In [16]:
# Let's visualize some batches of the train data
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(train_generator)):
images, labels = train_generator[i_batch]
for i in range(len(images)):
plt.subplot(5, 5, ind + 1)
ind += 1
plt.imshow(TF.to_pil_image(images[i]))
plt.title(f"class: {labels[i]}")
plt.axis("off")
if ind >= 25:
break
if ind >= 25:
break
plt.show()
In [17]:
plt.figure(figsize=(16, 16))
ind = 0
for i_batch in range(len(valid_generator)):
images, labels = valid_generator[i_batch]
for i in range(len(images)):
plt.subplot(5, 5, ind + 1)
ind += 1
plt.imshow(TF.to_pil_image(images[i]))
plt.title(f"class: {labels[i]}")
plt.axis("off")
if ind >= 25:
break
if ind >= 25:
break
plt.show()
In [18]:
train_loader = DataLoader(train_generator, batch_size=BATCH_SIZE, shuffle=True)
val_loader = DataLoader(valid_generator, batch_size=BATCH_SIZE)
test_loader = DataLoader(test_generator, batch_size=BATCH_SIZE)
In [19]:
# Checking the dataset
print('Training Set:\n')
for images, labels in train_loader:
print('Image batch dimensions:', images.permute(0,1,3,4,2).size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
print('\nValidating Set:')
for images, labels in val_loader:
print('Image batch dimensions:', images.size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
# Checking the dataset
print('\nTesting Set:')
for images, labels in test_loader:
print('Image batch dimensions:', images.size())
print('Image label dimensions:', labels.size())
print(labels[:10])
break
Training Set:
Image batch dimensions: torch.Size([16, 16, 224, 224, 3])
Image label dimensions: torch.Size([16, 16])
tensor([[ 5, 4, 37, 16, 32, 26, 20, 34, 19, 21, 6, 1, 1, 3, 9, 37],
[19, 35, 32, 27, 14, 15, 9, 13, 27, 28, 14, 3, 8, 3, 36, 2],
[ 0, 5, 30, 18, 5, 13, 17, 24, 5, 11, 8, 19, 10, 6, 31, 16],
[17, 21, 0, 25, 7, 14, 19, 17, 37, 4, 27, 22, 6, 17, 32, 27],
[13, 34, 23, 7, 9, 35, 32, 15, 36, 28, 17, 17, 16, 18, 36, 34],
[36, 7, 25, 18, 2, 29, 29, 17, 34, 8, 0, 8, 6, 36, 6, 29],
[16, 20, 0, 10, 25, 12, 11, 34, 6, 20, 28, 22, 26, 34, 5, 1],
[30, 22, 35, 2, 26, 33, 23, 3, 21, 8, 0, 4, 18, 10, 25, 2],
[25, 32, 23, 20, 33, 29, 28, 28, 12, 16, 33, 25, 5, 12, 7, 26],
[26, 20, 30, 22, 11, 23, 27, 31, 33, 28, 30, 26, 30, 6, 18, 20]])
Validating Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[14],
[31],
[17],
[19],
[32],
[20],
[ 9],
[32],
[29],
[ 2]])
Testing Set:
Image batch dimensions: torch.Size([20, 1, 3, 224, 224])
Image label dimensions: torch.Size([20, 1])
tensor([[31],
[31],
[31],
[31],
[ 0],
[ 2],
[ 1],
[ 3],
[ 0],
[ 2]])
The Dataset has the size (Batch size, data generator batch size, alpha channel, height, width). The models expect the size (batch size, alpha channel, height, width) so the dataset has to be permuted, flipping the first two dimensions.
Autoencoder ¶
In [20]:
##########################
### MODEL
##########################
class Reshape(nn.Module):
def __init__(self, *args):
super().__init__()
self.shape = args
def forward(self, x):
return x.view(self.shape)
class Trim(nn.Module):
def __init__(self, *args):
super().__init__()
def forward(self, x):
return x[:, :, :224, :224]
class AutoEncoder(nn.Module):
def __init__(self):
super().__init__()
# Encoder
self.encoder = nn.Sequential(
nn.Conv2d(3, 64, stride=1, kernel_size=3, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.Conv2d(64, 128, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, stride=1, kernel_size=3, padding=1),
nn.Conv2d(128, 256, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Flatten(),
nn.Linear(256 * 28 * 28, 4)
)
# Decoder
self.decoder = nn.Sequential(
nn.Linear(4, 256 * 28 * 28),
nn.LeakyReLU(0.01),
Reshape(-1, 256, 28, 28),
nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(128, 64, stride=2, kernel_size=3, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(64, 32, stride=2, kernel_size=3, padding=0),
nn.BatchNorm2d(32),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(32, 3, stride=1, kernel_size=3, padding=0),
Trim(),
nn.Sigmoid()
)
def forward(self, x):
x = self.encoder(x)
x = self.decoder(x)
return x
In [21]:
model = AutoEncoder()
model.to(device)
optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)
In [22]:
log_dict = train_autoencoder_v1(num_epochs=NUM_EPOCHS, model=model,
optimizer=optimizer, device=device,
train_loader=train_loader,
skip_epoch_stats=True,
logging_interval=250)
Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1766 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1546 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1436 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1235 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1330 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1018 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.1097 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0781 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0761 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0797 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0780 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0789 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0591 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0659 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0554 Epoch: 001/030 | Batch 0000/0001 | Loss: 0.0486 Time elapsed: 0.09 min Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0740 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0633 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0854 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0626 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0711 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0752 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0604 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0494 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0549 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0497 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0530 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0531 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0475 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0537 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 002/030 | Batch 0000/0001 | Loss: 0.0413 Time elapsed: 0.18 min Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0610 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0592 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0773 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0583 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0701 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0668 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0628 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0528 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0574 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0531 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0495 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0470 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0469 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0557 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0423 Epoch: 003/030 | Batch 0000/0001 | Loss: 0.0418 Time elapsed: 0.25 min Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0577 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0561 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0743 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0571 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0640 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0617 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0671 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0531 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0528 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0546 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0499 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0556 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0423 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0528 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0422 Epoch: 004/030 | Batch 0000/0001 | Loss: 0.0377 Time elapsed: 0.33 min Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0623 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0503 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0729 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0519 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0654 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0621 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0610 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0470 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0509 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0532 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0419 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0563 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0440 Epoch: 005/030 | Batch 0000/0001 | Loss: 0.0406 Time elapsed: 0.41 min Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0573 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0576 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0685 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0583 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0606 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0623 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0528 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0529 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0494 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0506 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0421 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0500 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0412 Epoch: 006/030 | Batch 0000/0001 | Loss: 0.0372 Time elapsed: 0.49 min Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0540 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0523 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0718 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0533 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0635 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0637 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0566 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0443 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0519 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0477 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0473 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0507 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0419 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0509 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0455 Epoch: 007/030 | Batch 0000/0001 | Loss: 0.0329 Time elapsed: 0.57 min Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0515 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0521 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0617 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0499 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0592 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0617 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0629 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0466 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0533 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0483 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0465 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0461 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0491 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0375 Epoch: 008/030 | Batch 0000/0001 | Loss: 0.0356 Time elapsed: 0.65 min Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0583 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0634 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0500 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0596 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0617 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0593 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0503 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0508 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0562 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0442 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0478 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0426 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0502 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0411 Epoch: 009/030 | Batch 0000/0001 | Loss: 0.0354 Time elapsed: 0.74 min Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0474 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0553 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0525 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0577 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0653 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0556 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0411 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0478 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0508 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0426 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0480 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0406 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 010/030 | Batch 0000/0001 | Loss: 0.0341 Time elapsed: 0.82 min Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0504 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0468 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0633 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0498 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0616 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0570 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0384 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0467 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0475 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0396 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0459 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0392 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0502 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0357 Epoch: 011/030 | Batch 0000/0001 | Loss: 0.0330 Time elapsed: 0.89 min Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0553 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0425 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0580 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0510 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0575 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0586 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0545 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0478 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0483 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0390 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0476 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0402 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0499 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0361 Epoch: 012/030 | Batch 0000/0001 | Loss: 0.0347 Time elapsed: 0.97 min Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0506 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0630 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0589 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0512 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0414 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0470 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0449 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0407 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0470 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0376 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0440 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0343 Epoch: 013/030 | Batch 0000/0001 | Loss: 0.0370 Time elapsed: 1.05 min Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0430 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0480 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0455 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0529 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0601 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0495 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0451 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0470 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0393 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0438 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0354 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0448 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0354 Epoch: 014/030 | Batch 0000/0001 | Loss: 0.0344 Time elapsed: 1.13 min Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0526 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0434 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0459 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0534 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0611 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0562 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0441 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0511 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0516 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0382 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0399 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0424 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0366 Epoch: 015/030 | Batch 0000/0001 | Loss: 0.0314 Time elapsed: 1.21 min Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0480 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0409 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0535 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0577 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0567 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0513 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0393 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0466 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0395 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0427 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0406 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0467 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0366 Epoch: 016/030 | Batch 0000/0001 | Loss: 0.0323 Time elapsed: 1.28 min Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0550 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0438 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0540 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0448 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0490 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0585 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0519 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0433 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0425 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0434 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0382 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0478 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0341 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0445 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 017/030 | Batch 0000/0001 | Loss: 0.0332 Time elapsed: 1.36 min Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0501 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0432 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0507 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0482 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0539 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0478 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0362 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0399 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0425 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0380 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0398 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0361 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0331 Epoch: 018/030 | Batch 0000/0001 | Loss: 0.0320 Time elapsed: 1.43 min Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0425 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0400 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0499 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0524 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0378 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0429 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0451 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0370 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0405 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0351 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0361 Epoch: 019/030 | Batch 0000/0001 | Loss: 0.0330 Time elapsed: 1.50 min Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0403 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0433 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0466 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0530 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0337 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0358 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0375 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0352 Epoch: 020/030 | Batch 0000/0001 | Loss: 0.0260 Time elapsed: 1.58 min Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0482 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0420 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0488 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0560 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0473 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0368 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0421 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0343 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0446 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0363 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0358 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0330 Epoch: 021/030 | Batch 0000/0001 | Loss: 0.0298 Time elapsed: 1.65 min Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0435 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0405 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0424 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0417 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0537 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0523 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0423 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0368 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0355 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0421 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0315 Epoch: 022/030 | Batch 0000/0001 | Loss: 0.0293 Time elapsed: 1.72 min Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0453 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0450 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0534 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0462 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0451 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0375 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0415 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0445 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0321 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0401 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0346 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0373 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0343 Epoch: 023/030 | Batch 0000/0001 | Loss: 0.0294 Time elapsed: 1.80 min Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0380 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0512 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0415 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0496 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0524 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0487 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0363 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0426 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0341 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0369 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0388 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0383 Epoch: 024/030 | Batch 0000/0001 | Loss: 0.0271 Time elapsed: 1.87 min Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0457 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0360 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0429 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0440 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0548 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0449 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0357 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0408 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0410 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0302 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0380 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0354 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0376 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0364 Epoch: 025/030 | Batch 0000/0001 | Loss: 0.0298 Time elapsed: 1.95 min Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0390 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0505 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0439 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0489 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0535 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0509 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0362 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0507 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0377 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0327 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0370 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0371 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0313 Epoch: 026/030 | Batch 0000/0001 | Loss: 0.0288 Time elapsed: 2.03 min Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0452 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0351 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0483 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0403 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0469 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0515 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0531 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0420 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0417 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0345 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0416 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0357 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0393 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0320 Epoch: 027/030 | Batch 0000/0001 | Loss: 0.0272 Time elapsed: 2.10 min Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0427 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0498 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0405 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0460 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0541 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0455 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0354 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0435 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0415 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0332 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0417 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0389 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0309 Epoch: 028/030 | Batch 0000/0001 | Loss: 0.0271 Time elapsed: 2.18 min Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0359 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0500 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0403 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0484 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0530 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0456 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0402 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0431 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0430 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0328 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0381 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0350 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0362 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0318 Epoch: 029/030 | Batch 0000/0001 | Loss: 0.0252 Time elapsed: 2.25 min Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0445 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0355 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0437 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0389 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0443 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0551 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0446 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0365 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0390 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0453 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0310 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0407 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0338 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0370 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0321 Epoch: 030/030 | Batch 0000/0001 | Loss: 0.0299 Time elapsed: 2.32 min Total Training Time: 2.32 min
In [23]:
plot_training_loss(log_dict['train_loss_per_batch'], NUM_EPOCHS)
plt.show()
In [24]:
plot_generated_images(data_loader=train_loader, model=model, device=device)
plt.show()
In [25]:
plot_latent_space_with_labels(
num_classes=39,
data_loader=train_loader,
model=model,
device=device)
plt.show()
The colors are set based on the franchise, Marvel is red, Star Wars is blue, Harry Potter is yellow and Jurassic World is green.
Variational Autoencoder ¶
In [31]:
##########################
### MODEL
##########################
class Reshape(nn.Module):
def __init__(self, *args):
super().__init__()
self.shape = args
def forward(self, x):
return x.view(self.shape)
class Trim(nn.Module):
def __init__(self, *args):
super().__init__()
def forward(self, x):
return x[:, :, :224, :224]
class VAE(nn.Module):
def __init__(self):
super().__init__()
self.encoder = nn.Sequential(
nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1), # Output: (16, 64, 224, 224)
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), # Output: (16, 128, 112, 112)
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 128, kernel_size=3, stride=2, padding=1), # Output: (16, 128, 56, 56)
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 28, 28)
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 14, 14)
nn.BatchNorm2d(256),
nn.LeakyReLU(0.01),
nn.Conv2d(256, 256, kernel_size=3, stride=2, padding=1), # Output: (16, 256, 7, 7)
nn.Flatten(), # Output: (16, 256 * 7 * 7)
)
self.z_mean = nn.Linear(12544, 4)
self.z_log_var = nn.Linear(12544, 4)
self.decoder = nn.Sequential(
nn.Linear(4,12544),
nn.LeakyReLU(0.01),
Reshape(-1, 256, 7, 7), # Reshape to match the encoder's downsampling
nn.ConvTranspose2d(256, 128, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(128),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(128, 64, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(64),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(64, 32, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(32),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(32, 16, stride=2, kernel_size=4, padding=1),
nn.BatchNorm2d(16),
nn.LeakyReLU(0.01),
nn.ConvTranspose2d(16, 3, stride=2, kernel_size=4, padding=1),
Trim(),
nn.Sigmoid()
)
def encoding_fn(self, x):
x = self.encoder(x)
z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)
encoded = self.reparameterize(z_mean, z_log_var)
return encoded
def reparameterize(self, z_mu, z_log_var):
eps = torch.randn(z_mu.size(0), z_mu.size(1)).to(z_mu.get_device())
z = z_mu + eps * torch.exp(z_log_var/2.)
return z
def forward(self, x):
encoded = self.encoding_fn(x)
x = self.encoder(x)
decoded = self.decoder(encoded)
z_mean, z_log_var = self.z_mean(x), self.z_log_var(x)
return encoded, z_mean, z_log_var, decoded
In [32]:
model2 = VAE()
model2.to(device)
optimizer = torch.optim.Adam(model2.parameters(), lr=LEARNING_RATE)
In [33]:
log_dict = train_vae_v1(num_epochs=NUM_EPOCHS, model=model2,
optimizer=optimizer, device=device,
train_loader=train_loader,
skip_epoch_stats=True,
logging_interval=50)
Epoch: 001/030 | Batch 0000/0001 | Loss: 15873.3896 Epoch: 001/030 | Batch 0000/0001 | Loss: 13367.5908 Epoch: 001/030 | Batch 0000/0001 | Loss: 15890.2031 Epoch: 001/030 | Batch 0000/0001 | Loss: 13456.4033 Epoch: 001/030 | Batch 0000/0001 | Loss: 14167.9824 Epoch: 001/030 | Batch 0000/0001 | Loss: 13961.0850 Epoch: 001/030 | Batch 0000/0001 | Loss: 14397.2227 Epoch: 001/030 | Batch 0000/0001 | Loss: 12603.9082 Epoch: 001/030 | Batch 0000/0001 | Loss: 13930.2520 Epoch: 001/030 | Batch 0000/0001 | Loss: 15960.9150 Epoch: 001/030 | Batch 0000/0001 | Loss: 13831.2803 Epoch: 001/030 | Batch 0000/0001 | Loss: 11013.8291 Epoch: 001/030 | Batch 0000/0001 | Loss: 10021.5107 Epoch: 001/030 | Batch 0000/0001 | Loss: 14108.3447 Epoch: 001/030 | Batch 0000/0001 | Loss: 11321.2100 Epoch: 001/030 | Batch 0000/0001 | Loss: 12399.4688 Time elapsed: 0.09 min Epoch: 002/030 | Batch 0000/0001 | Loss: 12173.8174 Epoch: 002/030 | Batch 0000/0001 | Loss: 13382.5049 Epoch: 002/030 | Batch 0000/0001 | Loss: 13927.1777 Epoch: 002/030 | Batch 0000/0001 | Loss: 12150.8799 Epoch: 002/030 | Batch 0000/0001 | Loss: 12188.1973 Epoch: 002/030 | Batch 0000/0001 | Loss: 13039.5566 Epoch: 002/030 | Batch 0000/0001 | Loss: 13184.2314 Epoch: 002/030 | Batch 0000/0001 | Loss: 10146.7188 Epoch: 002/030 | Batch 0000/0001 | Loss: 10050.2715 Epoch: 002/030 | Batch 0000/0001 | Loss: 13452.9219 Epoch: 002/030 | Batch 0000/0001 | Loss: 11712.5879 Epoch: 002/030 | Batch 0000/0001 | Loss: 11572.6758 Epoch: 002/030 | Batch 0000/0001 | Loss: 9214.1367 Epoch: 002/030 | Batch 0000/0001 | Loss: 11287.7861 Epoch: 002/030 | Batch 0000/0001 | Loss: 8468.6572 Epoch: 002/030 | Batch 0000/0001 | Loss: 8995.2861 Time elapsed: 0.18 min Epoch: 003/030 | Batch 0000/0001 | Loss: 10360.9697 Epoch: 003/030 | Batch 0000/0001 | Loss: 10205.6426 Epoch: 003/030 | Batch 0000/0001 | Loss: 13665.3789 Epoch: 003/030 | Batch 0000/0001 | Loss: 10109.3799 Epoch: 003/030 | Batch 0000/0001 | Loss: 10650.1621 Epoch: 003/030 | Batch 0000/0001 | Loss: 10938.7285 Epoch: 003/030 | Batch 0000/0001 | Loss: 11073.2178 Epoch: 003/030 | Batch 0000/0001 | Loss: 9248.5537 Epoch: 003/030 | Batch 0000/0001 | Loss: 10430.0215 Epoch: 003/030 | Batch 0000/0001 | Loss: 10402.4434 Epoch: 003/030 | Batch 0000/0001 | Loss: 9835.5361 Epoch: 003/030 | Batch 0000/0001 | Loss: 8520.4590 Epoch: 003/030 | Batch 0000/0001 | Loss: 8809.0166 Epoch: 003/030 | Batch 0000/0001 | Loss: 9676.1318 Epoch: 003/030 | Batch 0000/0001 | Loss: 7470.9355 Epoch: 003/030 | Batch 0000/0001 | Loss: 9001.0654 Time elapsed: 0.27 min Epoch: 004/030 | Batch 0000/0001 | Loss: 9872.9463 Epoch: 004/030 | Batch 0000/0001 | Loss: 10331.6279 Epoch: 004/030 | Batch 0000/0001 | Loss: 12176.4922 Epoch: 004/030 | Batch 0000/0001 | Loss: 9278.3389 Epoch: 004/030 | Batch 0000/0001 | Loss: 11457.8857 Epoch: 004/030 | Batch 0000/0001 | Loss: 9496.2275 Epoch: 004/030 | Batch 0000/0001 | Loss: 10303.3730 Epoch: 004/030 | Batch 0000/0001 | Loss: 8314.9492 Epoch: 004/030 | Batch 0000/0001 | Loss: 8752.1836 Epoch: 004/030 | Batch 0000/0001 | Loss: 7893.2959 Epoch: 004/030 | Batch 0000/0001 | Loss: 8824.1270 Epoch: 004/030 | Batch 0000/0001 | Loss: 8297.4697 Epoch: 004/030 | Batch 0000/0001 | Loss: 7150.4312 Epoch: 004/030 | Batch 0000/0001 | Loss: 9156.3418 Epoch: 004/030 | Batch 0000/0001 | Loss: 6886.3647 Epoch: 004/030 | Batch 0000/0001 | Loss: 7553.2085 Time elapsed: 0.35 min Epoch: 005/030 | Batch 0000/0001 | Loss: 8472.0762 Epoch: 005/030 | Batch 0000/0001 | Loss: 8142.4004 Epoch: 005/030 | Batch 0000/0001 | Loss: 10773.3838 Epoch: 005/030 | Batch 0000/0001 | Loss: 8482.7988 Epoch: 005/030 | Batch 0000/0001 | Loss: 9458.2773 Epoch: 005/030 | Batch 0000/0001 | Loss: 9899.6250 Epoch: 005/030 | Batch 0000/0001 | Loss: 8933.8623 Epoch: 005/030 | Batch 0000/0001 | Loss: 7501.6973 Epoch: 005/030 | Batch 0000/0001 | Loss: 7660.5430 Epoch: 005/030 | Batch 0000/0001 | Loss: 7928.8403 Epoch: 005/030 | Batch 0000/0001 | Loss: 7839.6260 Epoch: 005/030 | Batch 0000/0001 | Loss: 7440.1445 Epoch: 005/030 | Batch 0000/0001 | Loss: 6480.2886 Epoch: 005/030 | Batch 0000/0001 | Loss: 8185.0410 Epoch: 005/030 | Batch 0000/0001 | Loss: 6288.1362 Epoch: 005/030 | Batch 0000/0001 | Loss: 6293.0146 Time elapsed: 0.44 min Epoch: 006/030 | Batch 0000/0001 | Loss: 8782.0986 Epoch: 006/030 | Batch 0000/0001 | Loss: 8155.6655 Epoch: 006/030 | Batch 0000/0001 | Loss: 9324.1387 Epoch: 006/030 | Batch 0000/0001 | Loss: 7746.8247 Epoch: 006/030 | Batch 0000/0001 | Loss: 8129.7876 Epoch: 006/030 | Batch 0000/0001 | Loss: 9863.0420 Epoch: 006/030 | Batch 0000/0001 | Loss: 8244.9775 Epoch: 006/030 | Batch 0000/0001 | Loss: 6031.9946 Epoch: 006/030 | Batch 0000/0001 | Loss: 7353.3892 Epoch: 006/030 | Batch 0000/0001 | Loss: 7580.0459 Epoch: 006/030 | Batch 0000/0001 | Loss: 7122.4131 Epoch: 006/030 | Batch 0000/0001 | Loss: 7124.2334 Epoch: 006/030 | Batch 0000/0001 | Loss: 5442.1274 Epoch: 006/030 | Batch 0000/0001 | Loss: 6995.9077 Epoch: 006/030 | Batch 0000/0001 | Loss: 5809.9736 Epoch: 006/030 | Batch 0000/0001 | Loss: 6503.7266 Time elapsed: 0.52 min Epoch: 007/030 | Batch 0000/0001 | Loss: 8069.8911 Epoch: 007/030 | Batch 0000/0001 | Loss: 7483.2290 Epoch: 007/030 | Batch 0000/0001 | Loss: 9020.4199 Epoch: 007/030 | Batch 0000/0001 | Loss: 7525.1958 Epoch: 007/030 | Batch 0000/0001 | Loss: 7569.6060 Epoch: 007/030 | Batch 0000/0001 | Loss: 9200.7070 Epoch: 007/030 | Batch 0000/0001 | Loss: 7382.2227 Epoch: 007/030 | Batch 0000/0001 | Loss: 6695.1494 Epoch: 007/030 | Batch 0000/0001 | Loss: 7126.3198 Epoch: 007/030 | Batch 0000/0001 | Loss: 6629.3091 Epoch: 007/030 | Batch 0000/0001 | Loss: 6226.1714 Epoch: 007/030 | Batch 0000/0001 | Loss: 6286.6924 Epoch: 007/030 | Batch 0000/0001 | Loss: 6214.2534 Epoch: 007/030 | Batch 0000/0001 | Loss: 6984.6133 Epoch: 007/030 | Batch 0000/0001 | Loss: 5931.7480 Epoch: 007/030 | Batch 0000/0001 | Loss: 5486.0659 Time elapsed: 0.60 min Epoch: 008/030 | Batch 0000/0001 | Loss: 8069.6318 Epoch: 008/030 | Batch 0000/0001 | Loss: 6636.5176 Epoch: 008/030 | Batch 0000/0001 | Loss: 8143.0498 Epoch: 008/030 | Batch 0000/0001 | Loss: 7310.4634 Epoch: 008/030 | Batch 0000/0001 | Loss: 7632.1338 Epoch: 008/030 | Batch 0000/0001 | Loss: 8659.4502 Epoch: 008/030 | Batch 0000/0001 | Loss: 7828.5093 Epoch: 008/030 | Batch 0000/0001 | Loss: 6043.9097 Epoch: 008/030 | Batch 0000/0001 | Loss: 6291.3042 Epoch: 008/030 | Batch 0000/0001 | Loss: 6788.0112 Epoch: 008/030 | Batch 0000/0001 | Loss: 6194.4604 Epoch: 008/030 | Batch 0000/0001 | Loss: 6170.4116 Epoch: 008/030 | Batch 0000/0001 | Loss: 5444.4189 Epoch: 008/030 | Batch 0000/0001 | Loss: 6514.9521 Epoch: 008/030 | Batch 0000/0001 | Loss: 4786.6870 Epoch: 008/030 | Batch 0000/0001 | Loss: 4410.8003 Time elapsed: 0.69 min Epoch: 009/030 | Batch 0000/0001 | Loss: 7365.9497 Epoch: 009/030 | Batch 0000/0001 | Loss: 5686.9497 Epoch: 009/030 | Batch 0000/0001 | Loss: 7513.2271 Epoch: 009/030 | Batch 0000/0001 | Loss: 7024.6934 Epoch: 009/030 | Batch 0000/0001 | Loss: 7335.4287 Epoch: 009/030 | Batch 0000/0001 | Loss: 8012.7114 Epoch: 009/030 | Batch 0000/0001 | Loss: 6987.7588 Epoch: 009/030 | Batch 0000/0001 | Loss: 5860.3008 Epoch: 009/030 | Batch 0000/0001 | Loss: 6626.5381 Epoch: 009/030 | Batch 0000/0001 | Loss: 5858.8271 Epoch: 009/030 | Batch 0000/0001 | Loss: 5030.6729 Epoch: 009/030 | Batch 0000/0001 | Loss: 6542.7461 Epoch: 009/030 | Batch 0000/0001 | Loss: 4960.9941 Epoch: 009/030 | Batch 0000/0001 | Loss: 6433.1748 Epoch: 009/030 | Batch 0000/0001 | Loss: 4909.2495 Epoch: 009/030 | Batch 0000/0001 | Loss: 4566.5269 Time elapsed: 0.77 min Epoch: 010/030 | Batch 0000/0001 | Loss: 6444.0654 Epoch: 010/030 | Batch 0000/0001 | Loss: 6155.1982 Epoch: 010/030 | Batch 0000/0001 | Loss: 7954.5083 Epoch: 010/030 | Batch 0000/0001 | Loss: 6527.5176 Epoch: 010/030 | Batch 0000/0001 | Loss: 8024.8936 Epoch: 010/030 | Batch 0000/0001 | Loss: 8073.1050 Epoch: 010/030 | Batch 0000/0001 | Loss: 7179.5879 Epoch: 010/030 | Batch 0000/0001 | Loss: 5108.9956 Epoch: 010/030 | Batch 0000/0001 | Loss: 6382.0806 Epoch: 010/030 | Batch 0000/0001 | Loss: 6116.2417 Epoch: 010/030 | Batch 0000/0001 | Loss: 5013.4229 Epoch: 010/030 | Batch 0000/0001 | Loss: 5904.5625 Epoch: 010/030 | Batch 0000/0001 | Loss: 5743.4917 Epoch: 010/030 | Batch 0000/0001 | Loss: 5852.1260 Epoch: 010/030 | Batch 0000/0001 | Loss: 5317.3472 Epoch: 010/030 | Batch 0000/0001 | Loss: 4375.4712 Time elapsed: 0.86 min Epoch: 011/030 | Batch 0000/0001 | Loss: 7530.1763 Epoch: 011/030 | Batch 0000/0001 | Loss: 5602.0352 Epoch: 011/030 | Batch 0000/0001 | Loss: 7367.8677 Epoch: 011/030 | Batch 0000/0001 | Loss: 6352.7051 Epoch: 011/030 | Batch 0000/0001 | Loss: 7139.9556 Epoch: 011/030 | Batch 0000/0001 | Loss: 8001.4189 Epoch: 011/030 | Batch 0000/0001 | Loss: 7517.3701 Epoch: 011/030 | Batch 0000/0001 | Loss: 5662.7563 Epoch: 011/030 | Batch 0000/0001 | Loss: 6474.0786 Epoch: 011/030 | Batch 0000/0001 | Loss: 6181.9468 Epoch: 011/030 | Batch 0000/0001 | Loss: 5949.3745 Epoch: 011/030 | Batch 0000/0001 | Loss: 6816.9248 Epoch: 011/030 | Batch 0000/0001 | Loss: 5402.2617 Epoch: 011/030 | Batch 0000/0001 | Loss: 5629.5928 Epoch: 011/030 | Batch 0000/0001 | Loss: 5279.4971 Epoch: 011/030 | Batch 0000/0001 | Loss: 4531.1768 Time elapsed: 0.94 min Epoch: 012/030 | Batch 0000/0001 | Loss: 6866.0117 Epoch: 012/030 | Batch 0000/0001 | Loss: 5764.3477 Epoch: 012/030 | Batch 0000/0001 | Loss: 7125.8926 Epoch: 012/030 | Batch 0000/0001 | Loss: 6115.6440 Epoch: 012/030 | Batch 0000/0001 | Loss: 7062.0513 Epoch: 012/030 | Batch 0000/0001 | Loss: 9097.1641 Epoch: 012/030 | Batch 0000/0001 | Loss: 7200.6948 Epoch: 012/030 | Batch 0000/0001 | Loss: 5760.2866 Epoch: 012/030 | Batch 0000/0001 | Loss: 6334.7139 Epoch: 012/030 | Batch 0000/0001 | Loss: 6091.7935 Epoch: 012/030 | Batch 0000/0001 | Loss: 5764.4463 Epoch: 012/030 | Batch 0000/0001 | Loss: 6710.5898 Epoch: 012/030 | Batch 0000/0001 | Loss: 5258.2891 Epoch: 012/030 | Batch 0000/0001 | Loss: 5691.0083 Epoch: 012/030 | Batch 0000/0001 | Loss: 6135.4004 Epoch: 012/030 | Batch 0000/0001 | Loss: 4252.3062 Time elapsed: 1.03 min Epoch: 013/030 | Batch 0000/0001 | Loss: 7013.8008 Epoch: 013/030 | Batch 0000/0001 | Loss: 5522.1646 Epoch: 013/030 | Batch 0000/0001 | Loss: 7738.5815 Epoch: 013/030 | Batch 0000/0001 | Loss: 5533.4048 Epoch: 013/030 | Batch 0000/0001 | Loss: 7525.4268 Epoch: 013/030 | Batch 0000/0001 | Loss: 8436.0225 Epoch: 013/030 | Batch 0000/0001 | Loss: 6738.0527 Epoch: 013/030 | Batch 0000/0001 | Loss: 5491.6489 Epoch: 013/030 | Batch 0000/0001 | Loss: 6623.8496 Epoch: 013/030 | Batch 0000/0001 | Loss: 6162.2734 Epoch: 013/030 | Batch 0000/0001 | Loss: 4985.3125 Epoch: 013/030 | Batch 0000/0001 | Loss: 6107.7402 Epoch: 013/030 | Batch 0000/0001 | Loss: 5907.4048 Epoch: 013/030 | Batch 0000/0001 | Loss: 5995.8208 Epoch: 013/030 | Batch 0000/0001 | Loss: 5666.4961 Epoch: 013/030 | Batch 0000/0001 | Loss: 4709.8716 Time elapsed: 1.12 min Epoch: 014/030 | Batch 0000/0001 | Loss: 6351.6235 Epoch: 014/030 | Batch 0000/0001 | Loss: 5196.8291 Epoch: 014/030 | Batch 0000/0001 | Loss: 6907.4771 Epoch: 014/030 | Batch 0000/0001 | Loss: 6424.3345 Epoch: 014/030 | Batch 0000/0001 | Loss: 6798.9067 Epoch: 014/030 | Batch 0000/0001 | Loss: 7788.0918 Epoch: 014/030 | Batch 0000/0001 | Loss: 6355.6475 Epoch: 014/030 | Batch 0000/0001 | Loss: 5137.2773 Epoch: 014/030 | Batch 0000/0001 | Loss: 5973.3491 Epoch: 014/030 | Batch 0000/0001 | Loss: 6612.3213 Epoch: 014/030 | Batch 0000/0001 | Loss: 5978.8672 Epoch: 014/030 | Batch 0000/0001 | Loss: 6068.2271 Epoch: 014/030 | Batch 0000/0001 | Loss: 5275.1152 Epoch: 014/030 | Batch 0000/0001 | Loss: 5082.6108 Epoch: 014/030 | Batch 0000/0001 | Loss: 5283.7832 Epoch: 014/030 | Batch 0000/0001 | Loss: 4022.9626 Time elapsed: 1.20 min Epoch: 015/030 | Batch 0000/0001 | Loss: 6666.1802 Epoch: 015/030 | Batch 0000/0001 | Loss: 5798.9585 Epoch: 015/030 | Batch 0000/0001 | Loss: 7412.5532 Epoch: 015/030 | Batch 0000/0001 | Loss: 6415.5542 Epoch: 015/030 | Batch 0000/0001 | Loss: 7549.8071 Epoch: 015/030 | Batch 0000/0001 | Loss: 8649.4990 Epoch: 015/030 | Batch 0000/0001 | Loss: 6510.2119 Epoch: 015/030 | Batch 0000/0001 | Loss: 5769.3281 Epoch: 015/030 | Batch 0000/0001 | Loss: 5894.6904 Epoch: 015/030 | Batch 0000/0001 | Loss: 6270.7407 Epoch: 015/030 | Batch 0000/0001 | Loss: 5566.5342 Epoch: 015/030 | Batch 0000/0001 | Loss: 5664.7510 Epoch: 015/030 | Batch 0000/0001 | Loss: 5002.4248 Epoch: 015/030 | Batch 0000/0001 | Loss: 5037.0635 Epoch: 015/030 | Batch 0000/0001 | Loss: 4678.3184 Epoch: 015/030 | Batch 0000/0001 | Loss: 4353.1982 Time elapsed: 1.29 min Epoch: 016/030 | Batch 0000/0001 | Loss: 6807.1860 Epoch: 016/030 | Batch 0000/0001 | Loss: 5137.8394 Epoch: 016/030 | Batch 0000/0001 | Loss: 7131.7656 Epoch: 016/030 | Batch 0000/0001 | Loss: 6327.2837 Epoch: 016/030 | Batch 0000/0001 | Loss: 7495.3940 Epoch: 016/030 | Batch 0000/0001 | Loss: 8510.8975 Epoch: 016/030 | Batch 0000/0001 | Loss: 6510.2344 Epoch: 016/030 | Batch 0000/0001 | Loss: 5317.1812 Epoch: 016/030 | Batch 0000/0001 | Loss: 5660.6108 Epoch: 016/030 | Batch 0000/0001 | Loss: 5798.5161 Epoch: 016/030 | Batch 0000/0001 | Loss: 4924.1162 Epoch: 016/030 | Batch 0000/0001 | Loss: 6298.2612 Epoch: 016/030 | Batch 0000/0001 | Loss: 5615.0894 Epoch: 016/030 | Batch 0000/0001 | Loss: 6073.8916 Epoch: 016/030 | Batch 0000/0001 | Loss: 4802.9087 Epoch: 016/030 | Batch 0000/0001 | Loss: 4607.0986 Time elapsed: 1.37 min Epoch: 017/030 | Batch 0000/0001 | Loss: 6712.1611 Epoch: 017/030 | Batch 0000/0001 | Loss: 5776.6782 Epoch: 017/030 | Batch 0000/0001 | Loss: 7746.4297 Epoch: 017/030 | Batch 0000/0001 | Loss: 5704.2246 Epoch: 017/030 | Batch 0000/0001 | Loss: 7322.2324 Epoch: 017/030 | Batch 0000/0001 | Loss: 8268.7285 Epoch: 017/030 | Batch 0000/0001 | Loss: 6491.6660 Epoch: 017/030 | Batch 0000/0001 | Loss: 5105.9243 Epoch: 017/030 | Batch 0000/0001 | Loss: 6001.2495 Epoch: 017/030 | Batch 0000/0001 | Loss: 5925.2290 Epoch: 017/030 | Batch 0000/0001 | Loss: 5251.4863 Epoch: 017/030 | Batch 0000/0001 | Loss: 6172.2373 Epoch: 017/030 | Batch 0000/0001 | Loss: 5960.0391 Epoch: 017/030 | Batch 0000/0001 | Loss: 5604.6597 Epoch: 017/030 | Batch 0000/0001 | Loss: 6153.6694 Epoch: 017/030 | Batch 0000/0001 | Loss: 3786.8359 Time elapsed: 1.45 min Epoch: 018/030 | Batch 0000/0001 | Loss: 6360.4751 Epoch: 018/030 | Batch 0000/0001 | Loss: 5410.6763 Epoch: 018/030 | Batch 0000/0001 | Loss: 6821.4761 Epoch: 018/030 | Batch 0000/0001 | Loss: 5690.6460 Epoch: 018/030 | Batch 0000/0001 | Loss: 6747.1562 Epoch: 018/030 | Batch 0000/0001 | Loss: 7539.8447 Epoch: 018/030 | Batch 0000/0001 | Loss: 6810.7295 Epoch: 018/030 | Batch 0000/0001 | Loss: 4883.2383 Epoch: 018/030 | Batch 0000/0001 | Loss: 5907.5581 Epoch: 018/030 | Batch 0000/0001 | Loss: 6030.6514 Epoch: 018/030 | Batch 0000/0001 | Loss: 5682.9268 Epoch: 018/030 | Batch 0000/0001 | Loss: 5857.4580 Epoch: 018/030 | Batch 0000/0001 | Loss: 5460.7100 Epoch: 018/030 | Batch 0000/0001 | Loss: 6594.9009 Epoch: 018/030 | Batch 0000/0001 | Loss: 5788.7866 Epoch: 018/030 | Batch 0000/0001 | Loss: 4625.8208 Time elapsed: 1.54 min Epoch: 019/030 | Batch 0000/0001 | Loss: 6774.6572 Epoch: 019/030 | Batch 0000/0001 | Loss: 6118.6367 Epoch: 019/030 | Batch 0000/0001 | Loss: 6788.4482 Epoch: 019/030 | Batch 0000/0001 | Loss: 5912.2046 Epoch: 019/030 | Batch 0000/0001 | Loss: 6464.3511 Epoch: 019/030 | Batch 0000/0001 | Loss: 7547.2432 Epoch: 019/030 | Batch 0000/0001 | Loss: 7271.8447 Epoch: 019/030 | Batch 0000/0001 | Loss: 4918.0537 Epoch: 019/030 | Batch 0000/0001 | Loss: 5773.3662 Epoch: 019/030 | Batch 0000/0001 | Loss: 6690.2222 Epoch: 019/030 | Batch 0000/0001 | Loss: 5134.3877 Epoch: 019/030 | Batch 0000/0001 | Loss: 5760.1235 Epoch: 019/030 | Batch 0000/0001 | Loss: 4826.0073 Epoch: 019/030 | Batch 0000/0001 | Loss: 5671.6157 Epoch: 019/030 | Batch 0000/0001 | Loss: 4591.7178 Epoch: 019/030 | Batch 0000/0001 | Loss: 4297.1045 Time elapsed: 1.63 min Epoch: 020/030 | Batch 0000/0001 | Loss: 6059.9668 Epoch: 020/030 | Batch 0000/0001 | Loss: 5276.2285 Epoch: 020/030 | Batch 0000/0001 | Loss: 7828.8789 Epoch: 020/030 | Batch 0000/0001 | Loss: 5738.7104 Epoch: 020/030 | Batch 0000/0001 | Loss: 7420.3945 Epoch: 020/030 | Batch 0000/0001 | Loss: 7590.2373 Epoch: 020/030 | Batch 0000/0001 | Loss: 7367.3037 Epoch: 020/030 | Batch 0000/0001 | Loss: 5343.2329 Epoch: 020/030 | Batch 0000/0001 | Loss: 6036.7300 Epoch: 020/030 | Batch 0000/0001 | Loss: 5861.3633 Epoch: 020/030 | Batch 0000/0001 | Loss: 5212.3428 Epoch: 020/030 | Batch 0000/0001 | Loss: 5513.5645 Epoch: 020/030 | Batch 0000/0001 | Loss: 5035.3203 Epoch: 020/030 | Batch 0000/0001 | Loss: 5483.8423 Epoch: 020/030 | Batch 0000/0001 | Loss: 5143.2725 Epoch: 020/030 | Batch 0000/0001 | Loss: 3784.0876 Time elapsed: 1.71 min Epoch: 021/030 | Batch 0000/0001 | Loss: 6678.9854 Epoch: 021/030 | Batch 0000/0001 | Loss: 5695.6680 Epoch: 021/030 | Batch 0000/0001 | Loss: 7223.4238 Epoch: 021/030 | Batch 0000/0001 | Loss: 6115.6138 Epoch: 021/030 | Batch 0000/0001 | Loss: 6950.6475 Epoch: 021/030 | Batch 0000/0001 | Loss: 7149.3296 Epoch: 021/030 | Batch 0000/0001 | Loss: 7105.8530 Epoch: 021/030 | Batch 0000/0001 | Loss: 5587.6675 Epoch: 021/030 | Batch 0000/0001 | Loss: 6051.8442 Epoch: 021/030 | Batch 0000/0001 | Loss: 6153.2935 Epoch: 021/030 | Batch 0000/0001 | Loss: 4683.5444 Epoch: 021/030 | Batch 0000/0001 | Loss: 6036.0225 Epoch: 021/030 | Batch 0000/0001 | Loss: 5352.7334 Epoch: 021/030 | Batch 0000/0001 | Loss: 5330.4858 Epoch: 021/030 | Batch 0000/0001 | Loss: 4634.0752 Epoch: 021/030 | Batch 0000/0001 | Loss: 4782.6069 Time elapsed: 1.80 min Epoch: 022/030 | Batch 0000/0001 | Loss: 6100.0234 Epoch: 022/030 | Batch 0000/0001 | Loss: 5258.4517 Epoch: 022/030 | Batch 0000/0001 | Loss: 6649.9370 Epoch: 022/030 | Batch 0000/0001 | Loss: 6147.9814 Epoch: 022/030 | Batch 0000/0001 | Loss: 7164.7017 Epoch: 022/030 | Batch 0000/0001 | Loss: 7984.0996 Epoch: 022/030 | Batch 0000/0001 | Loss: 7202.1235 Epoch: 022/030 | Batch 0000/0001 | Loss: 5457.4126 Epoch: 022/030 | Batch 0000/0001 | Loss: 6103.7832 Epoch: 022/030 | Batch 0000/0001 | Loss: 5132.3076 Epoch: 022/030 | Batch 0000/0001 | Loss: 5508.8647 Epoch: 022/030 | Batch 0000/0001 | Loss: 5662.4385 Epoch: 022/030 | Batch 0000/0001 | Loss: 5209.5596 Epoch: 022/030 | Batch 0000/0001 | Loss: 5784.6172 Epoch: 022/030 | Batch 0000/0001 | Loss: 4608.6992 Epoch: 022/030 | Batch 0000/0001 | Loss: 3919.3750 Time elapsed: 1.88 min Epoch: 023/030 | Batch 0000/0001 | Loss: 6143.4751 Epoch: 023/030 | Batch 0000/0001 | Loss: 5443.3770 Epoch: 023/030 | Batch 0000/0001 | Loss: 7472.2705 Epoch: 023/030 | Batch 0000/0001 | Loss: 6075.5708 Epoch: 023/030 | Batch 0000/0001 | Loss: 6699.9585 Epoch: 023/030 | Batch 0000/0001 | Loss: 8427.9297 Epoch: 023/030 | Batch 0000/0001 | Loss: 7071.7432 Epoch: 023/030 | Batch 0000/0001 | Loss: 5475.6934 Epoch: 023/030 | Batch 0000/0001 | Loss: 6156.5293 Epoch: 023/030 | Batch 0000/0001 | Loss: 5308.3359 Epoch: 023/030 | Batch 0000/0001 | Loss: 5589.5566 Epoch: 023/030 | Batch 0000/0001 | Loss: 5676.5605 Epoch: 023/030 | Batch 0000/0001 | Loss: 5628.5669 Epoch: 023/030 | Batch 0000/0001 | Loss: 5532.8076 Epoch: 023/030 | Batch 0000/0001 | Loss: 4377.6064 Epoch: 023/030 | Batch 0000/0001 | Loss: 3993.9854 Time elapsed: 1.97 min Epoch: 024/030 | Batch 0000/0001 | Loss: 7206.8096 Epoch: 024/030 | Batch 0000/0001 | Loss: 5379.2041 Epoch: 024/030 | Batch 0000/0001 | Loss: 7111.2427 Epoch: 024/030 | Batch 0000/0001 | Loss: 6469.8047 Epoch: 024/030 | Batch 0000/0001 | Loss: 6664.1519 Epoch: 024/030 | Batch 0000/0001 | Loss: 7881.4912 Epoch: 024/030 | Batch 0000/0001 | Loss: 6528.0210 Epoch: 024/030 | Batch 0000/0001 | Loss: 5258.6914 Epoch: 024/030 | Batch 0000/0001 | Loss: 5642.5234 Epoch: 024/030 | Batch 0000/0001 | Loss: 6428.9482 Epoch: 024/030 | Batch 0000/0001 | Loss: 5083.1548 Epoch: 024/030 | Batch 0000/0001 | Loss: 6401.8579 Epoch: 024/030 | Batch 0000/0001 | Loss: 5222.7529 Epoch: 024/030 | Batch 0000/0001 | Loss: 5481.3735 Epoch: 024/030 | Batch 0000/0001 | Loss: 4977.7695 Epoch: 024/030 | Batch 0000/0001 | Loss: 3898.3672 Time elapsed: 2.06 min Epoch: 025/030 | Batch 0000/0001 | Loss: 6514.1172 Epoch: 025/030 | Batch 0000/0001 | Loss: 5511.0679 Epoch: 025/030 | Batch 0000/0001 | Loss: 7601.0615 Epoch: 025/030 | Batch 0000/0001 | Loss: 6602.5112 Epoch: 025/030 | Batch 0000/0001 | Loss: 6299.3179 Epoch: 025/030 | Batch 0000/0001 | Loss: 6944.0576 Epoch: 025/030 | Batch 0000/0001 | Loss: 6237.7095 Epoch: 025/030 | Batch 0000/0001 | Loss: 5001.5869 Epoch: 025/030 | Batch 0000/0001 | Loss: 6260.1938 Epoch: 025/030 | Batch 0000/0001 | Loss: 5756.7905 Epoch: 025/030 | Batch 0000/0001 | Loss: 4597.9048 Epoch: 025/030 | Batch 0000/0001 | Loss: 5116.3970 Epoch: 025/030 | Batch 0000/0001 | Loss: 5374.0039 Epoch: 025/030 | Batch 0000/0001 | Loss: 5416.2671 Epoch: 025/030 | Batch 0000/0001 | Loss: 5199.3882 Epoch: 025/030 | Batch 0000/0001 | Loss: 3750.9868 Time elapsed: 2.14 min Epoch: 026/030 | Batch 0000/0001 | Loss: 6993.1460 Epoch: 026/030 | Batch 0000/0001 | Loss: 5087.5371 Epoch: 026/030 | Batch 0000/0001 | Loss: 6574.3081 Epoch: 026/030 | Batch 0000/0001 | Loss: 6205.9736 Epoch: 026/030 | Batch 0000/0001 | Loss: 6962.4375 Epoch: 026/030 | Batch 0000/0001 | Loss: 8011.5586 Epoch: 026/030 | Batch 0000/0001 | Loss: 6612.3569 Epoch: 026/030 | Batch 0000/0001 | Loss: 5092.4766 Epoch: 026/030 | Batch 0000/0001 | Loss: 6365.7812 Epoch: 026/030 | Batch 0000/0001 | Loss: 6188.2324 Epoch: 026/030 | Batch 0000/0001 | Loss: 5082.9678 Epoch: 026/030 | Batch 0000/0001 | Loss: 5535.3174 Epoch: 026/030 | Batch 0000/0001 | Loss: 4791.7939 Epoch: 026/030 | Batch 0000/0001 | Loss: 5267.4824 Epoch: 026/030 | Batch 0000/0001 | Loss: 4752.1289 Epoch: 026/030 | Batch 0000/0001 | Loss: 3854.4780 Time elapsed: 2.22 min Epoch: 027/030 | Batch 0000/0001 | Loss: 5885.3823 Epoch: 027/030 | Batch 0000/0001 | Loss: 5606.8281 Epoch: 027/030 | Batch 0000/0001 | Loss: 7109.0967 Epoch: 027/030 | Batch 0000/0001 | Loss: 6296.2246 Epoch: 027/030 | Batch 0000/0001 | Loss: 7228.9868 Epoch: 027/030 | Batch 0000/0001 | Loss: 7735.5122 Epoch: 027/030 | Batch 0000/0001 | Loss: 7140.9160 Epoch: 027/030 | Batch 0000/0001 | Loss: 5052.4150 Epoch: 027/030 | Batch 0000/0001 | Loss: 6461.7163 Epoch: 027/030 | Batch 0000/0001 | Loss: 5927.3667 Epoch: 027/030 | Batch 0000/0001 | Loss: 4951.9409 Epoch: 027/030 | Batch 0000/0001 | Loss: 5471.0103 Epoch: 027/030 | Batch 0000/0001 | Loss: 5002.5225 Epoch: 027/030 | Batch 0000/0001 | Loss: 5295.7832 Epoch: 027/030 | Batch 0000/0001 | Loss: 4662.1143 Epoch: 027/030 | Batch 0000/0001 | Loss: 4160.5625 Time elapsed: 2.30 min Epoch: 028/030 | Batch 0000/0001 | Loss: 6470.2139 Epoch: 028/030 | Batch 0000/0001 | Loss: 5762.5840 Epoch: 028/030 | Batch 0000/0001 | Loss: 6675.4248 Epoch: 028/030 | Batch 0000/0001 | Loss: 5701.1416 Epoch: 028/030 | Batch 0000/0001 | Loss: 6626.0542 Epoch: 028/030 | Batch 0000/0001 | Loss: 8192.1230 Epoch: 028/030 | Batch 0000/0001 | Loss: 7548.6729 Epoch: 028/030 | Batch 0000/0001 | Loss: 5347.8955 Epoch: 028/030 | Batch 0000/0001 | Loss: 5793.5654 Epoch: 028/030 | Batch 0000/0001 | Loss: 6320.2515 Epoch: 028/030 | Batch 0000/0001 | Loss: 5244.8843 Epoch: 028/030 | Batch 0000/0001 | Loss: 5847.5938 Epoch: 028/030 | Batch 0000/0001 | Loss: 4934.2964 Epoch: 028/030 | Batch 0000/0001 | Loss: 5674.9570 Epoch: 028/030 | Batch 0000/0001 | Loss: 4613.6602 Epoch: 028/030 | Batch 0000/0001 | Loss: 4099.9292 Time elapsed: 2.39 min Epoch: 029/030 | Batch 0000/0001 | Loss: 6320.8945 Epoch: 029/030 | Batch 0000/0001 | Loss: 5268.7480 Epoch: 029/030 | Batch 0000/0001 | Loss: 7434.7529 Epoch: 029/030 | Batch 0000/0001 | Loss: 5792.7471 Epoch: 029/030 | Batch 0000/0001 | Loss: 6789.1924 Epoch: 029/030 | Batch 0000/0001 | Loss: 7650.0000 Epoch: 029/030 | Batch 0000/0001 | Loss: 7447.9956 Epoch: 029/030 | Batch 0000/0001 | Loss: 4956.9194 Epoch: 029/030 | Batch 0000/0001 | Loss: 6324.4907 Epoch: 029/030 | Batch 0000/0001 | Loss: 6036.6367 Epoch: 029/030 | Batch 0000/0001 | Loss: 5035.4214 Epoch: 029/030 | Batch 0000/0001 | Loss: 5622.9751 Epoch: 029/030 | Batch 0000/0001 | Loss: 5523.5581 Epoch: 029/030 | Batch 0000/0001 | Loss: 5195.9658 Epoch: 029/030 | Batch 0000/0001 | Loss: 5370.6499 Epoch: 029/030 | Batch 0000/0001 | Loss: 3962.6511 Time elapsed: 2.47 min Epoch: 030/030 | Batch 0000/0001 | Loss: 6992.9761 Epoch: 030/030 | Batch 0000/0001 | Loss: 5917.5151 Epoch: 030/030 | Batch 0000/0001 | Loss: 6618.0068 Epoch: 030/030 | Batch 0000/0001 | Loss: 5815.6660 Epoch: 030/030 | Batch 0000/0001 | Loss: 6611.6904 Epoch: 030/030 | Batch 0000/0001 | Loss: 7800.2124 Epoch: 030/030 | Batch 0000/0001 | Loss: 6315.4521 Epoch: 030/030 | Batch 0000/0001 | Loss: 5042.9482 Epoch: 030/030 | Batch 0000/0001 | Loss: 6291.3525 Epoch: 030/030 | Batch 0000/0001 | Loss: 6158.2065 Epoch: 030/030 | Batch 0000/0001 | Loss: 5027.1372 Epoch: 030/030 | Batch 0000/0001 | Loss: 5967.1094 Epoch: 030/030 | Batch 0000/0001 | Loss: 4943.2109 Epoch: 030/030 | Batch 0000/0001 | Loss: 5399.6992 Epoch: 030/030 | Batch 0000/0001 | Loss: 4483.4565 Epoch: 030/030 | Batch 0000/0001 | Loss: 4061.9590 Time elapsed: 2.55 min Total Training Time: 2.55 min
In [34]:
plot_training_loss(log_dict['train_reconstruction_loss_per_batch'], NUM_EPOCHS, custom_label=" (reconstruction)")
plot_training_loss(log_dict['train_kl_loss_per_batch'], NUM_EPOCHS, custom_label=" (KL)")
plot_training_loss(log_dict['train_combined_loss_per_batch'], NUM_EPOCHS, custom_label=" (combined)")
plt.show()
In [35]:
plot_generated_images(data_loader=train_loader, model=model2, device=device, modeltype='VAE')
plt.show()
In [36]:
plot_latent_space_with_labels(
num_classes=38,
data_loader=train_loader,
model = model2,
device=device)
plt.show()
GAN ¶
In [37]:
##########################
### MODEL
##########################
import torch
import torch.nn as nn
class GAN(nn.Module):
def __init__(self, latent_dim=189, image_height=224, image_width=224, color_channels=3):
super().__init__()
self.image_height = image_height
self.image_width = image_width
self.color_channels = color_channels
self.latent_dim = latent_dim
# Generator
self.generator = nn.Sequential(
nn.Linear(self.latent_dim, 256), # First layer expects (batch_size, latent_dim)
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(256, 512),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(512, self.color_channels * self.image_height * self.image_width),
nn.Tanh()
)
# Discriminator
self.discriminator = nn.Sequential(
nn.Flatten(),
nn.Linear(self.color_channels * self.image_height * self.image_width, 512),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(512, 256),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(256, 1)
)
def generator_forward(self, z):
# Ensure z has the correct latent dimension (batch_size, latent_dim)
if z.dim() == 4: # (batch_size, latent_dim, 1, 1)
z = z.view(z.size(0), -1) # Flatten it to (batch_size, latent_dim)
img = self.generator(z)
# Reshape the output to (batch_size, color_channels, image_height, image_width)
img = img.view(z.size(0), self.color_channels, self.image_height, self.image_width)
return img
def discriminator_forward(self, img):
logits = self.discriminator(img)
return logits
In [38]:
modelGAN = GAN()
modelGAN.to(device)
optim_gen = torch.optim.Adam(modelGAN.generator.parameters(),
betas=(0.5, 0.999),
lr=GENERATOR_LEARNING_RATE)
optim_discr = torch.optim.Adam(modelGAN.discriminator.parameters(),
betas=(0.5, 0.999),
lr=DISCRIMINATOR_LEARNING_RATE)
In [40]:
import optuna
import torch.optim as optim
# Define the objective function for Optuna
def objective(trial):
latent_dim = trial.suggest_int('latent_dim', 100, 200)
lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
batch_size = trial.suggest_int('batch_size', 16, 64)
num_epochs = trial.suggest_int('num_epochs', 1, 20)
# Initialize the model, optimizers
model = GAN(latent_dim=latent_dim).to(device)
optimizer_gen = optim.Adam(model.generator.parameters(), lr=lr_gen, betas=(0.5, 0.999))
optimizer_discr = optim.Adam(model.discriminator.parameters(), lr=lr_discr, betas=(0.5, 0.999))
# Training loop
log_dict = train_gan_v1(
num_epochs=num_epochs,
model=model,
optimizer_gen=optimizer_gen,
optimizer_discr=optimizer_discr,
latent_dim=latent_dim,
device=device,
train_loader=train_loader,
logging_interval=100
)
# Return the discriminator loss as the objective for Optuna
return log_dict['train_discriminator_loss_per_batch'][-1]
# Create a study and optimize
study = optuna.create_study(direction='minimize') # Minimize the discriminator loss
study.optimize(objective, n_trials=10) # Number of trials to run
# Print the best hyperparameters
print(f"Best hyperparameters: {study.best_params}")
[I 2025-01-13 12:29:35,929] A new study created in memory with name: no-name-84cb5e75-cd57-42bc-95ef-770f8ebe8070
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:7: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
lr_gen = trial.suggest_loguniform('lr_gen', 1e-5, 1e-2)
C:\Users\rvaal\AppData\Local\Temp\ipykernel_22704\3781775788.py:8: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use suggest_float(..., log=True) instead.
lr_discr = trial.suggest_loguniform('lr_discr', 1e-5, 1e-2)
Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0069 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0260 | Dis Loss (Avg): 0.0153 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.0567 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1001 | Dis Loss (Avg): 0.0164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.1510 | Dis Loss (Avg): 0.0163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2041 | Dis Loss (Avg): 0.0162 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.2558 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3039 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3484 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.3947 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.4487 | Dis Loss (Avg): 0.0161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5062 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.5635 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6268 | Dis Loss (Avg): 0.0160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/19 | Batch: 0/1 | Gen Loss (Avg): 0.7623 | Dis Loss (Avg): 0.0159 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.08 min Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7774 | Dis Loss (Avg): 0.0225 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.7842 | Dis Loss (Avg): 0.0608 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8355 | Dis Loss (Avg): 0.0709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8693 | Dis Loss (Avg): 0.0866 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.8944 | Dis Loss (Avg): 0.0863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9231 | Dis Loss (Avg): 0.0865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9568 | Dis Loss (Avg): 0.0862 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.0937 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0431 | Dis Loss (Avg): 0.0937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.1075 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0640 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.0969 | Dis Loss (Avg): 0.1170 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1126 | Dis Loss (Avg): 0.1375 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1289 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/19 | Batch: 0/1 | Gen Loss (Avg): 1.1568 | Dis Loss (Avg): 0.1384 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.16 min Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.1944 | Dis Loss (Avg): 0.1386 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2118 | Dis Loss (Avg): 0.1540 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2100 | Dis Loss (Avg): 0.1638 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2031 | Dis Loss (Avg): 0.1897 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2062 | Dis Loss (Avg): 0.2032 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2253 | Dis Loss (Avg): 0.2078 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2588 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.2883 | Dis Loss (Avg): 0.2045 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3251 | Dis Loss (Avg): 0.2053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3345 | Dis Loss (Avg): 0.2205 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3260 | Dis Loss (Avg): 0.2394 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2563 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3153 | Dis Loss (Avg): 0.2642 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3124 | Dis Loss (Avg): 0.2738 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3158 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/19 | Batch: 0/1 | Gen Loss (Avg): 1.3171 | Dis Loss (Avg): 0.2796 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.23 min Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3166 | Dis Loss (Avg): 0.2798 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3247 | Dis Loss (Avg): 0.2811 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3403 | Dis Loss (Avg): 0.2802 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3398 | Dis Loss (Avg): 0.2801 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3279 | Dis Loss (Avg): 0.2989 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3268 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3563 | Dis Loss (Avg): 0.3159 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.3961 | Dis Loss (Avg): 0.3129 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.3099 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4685 | Dis Loss (Avg): 0.3069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4739 | Dis Loss (Avg): 0.3248 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4649 | Dis Loss (Avg): 0.3240 | Real Acc: 93.75% | Fake Acc: 12.50% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4620 | Dis Loss (Avg): 0.3304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4558 | Dis Loss (Avg): 0.3426 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4571 | Dis Loss (Avg): 0.3448 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/19 | Batch: 0/1 | Gen Loss (Avg): 1.4676 | Dis Loss (Avg): 0.3431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.30 min Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4777 | Dis Loss (Avg): 0.3415 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4881 | Dis Loss (Avg): 0.3388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4919 | Dis Loss (Avg): 0.3467 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4901 | Dis Loss (Avg): 0.3454 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4932 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4951 | Dis Loss (Avg): 0.3435 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.3432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4993 | Dis Loss (Avg): 0.3472 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4937 | Dis Loss (Avg): 0.3548 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4843 | Dis Loss (Avg): 0.3714 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4787 | Dis Loss (Avg): 0.3826 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4713 | Dis Loss (Avg): 0.3872 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4767 | Dis Loss (Avg): 0.3895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4789 | Dis Loss (Avg): 0.3942 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.4962 | Dis Loss (Avg): 0.3934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/19 | Batch: 0/1 | Gen Loss (Avg): 1.5138 | Dis Loss (Avg): 0.3922 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.37 min Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5101 | Dis Loss (Avg): 0.4265 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5157 | Dis Loss (Avg): 0.4260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.4339 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5164 | Dis Loss (Avg): 0.4337 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.4410 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5346 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5545 | Dis Loss (Avg): 0.4352 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5551 | Dis Loss (Avg): 0.4484 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5410 | Dis Loss (Avg): 0.4553 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5283 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5222 | Dis Loss (Avg): 0.4696 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5312 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5395 | Dis Loss (Avg): 0.4769 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5475 | Dis Loss (Avg): 0.4729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5527 | Dis Loss (Avg): 0.4692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/19 | Batch: 0/1 | Gen Loss (Avg): 1.5560 | Dis Loss (Avg): 0.4661 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.44 min Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5488 | Dis Loss (Avg): 0.4797 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5429 | Dis Loss (Avg): 0.4793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5402 | Dis Loss (Avg): 0.4784 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5377 | Dis Loss (Avg): 0.4741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5321 | Dis Loss (Avg): 0.4977 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5306 | Dis Loss (Avg): 0.4964 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5259 | Dis Loss (Avg): 0.5142 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5244 | Dis Loss (Avg): 0.5122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5179 | Dis Loss (Avg): 0.5102 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5125 | Dis Loss (Avg): 0.5106 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5117 | Dis Loss (Avg): 0.5098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5169 | Dis Loss (Avg): 0.5067 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5268 | Dis Loss (Avg): 0.5026 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5378 | Dis Loss (Avg): 0.4983 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/19 | Batch: 0/1 | Gen Loss (Avg): 1.5342 | Dis Loss (Avg): 0.4997 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 0.51 min Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5276 | Dis Loss (Avg): 0.5012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5251 | Dis Loss (Avg): 0.5032 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5173 | Dis Loss (Avg): 0.5338 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5112 | Dis Loss (Avg): 0.5340 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.5358 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5005 | Dis Loss (Avg): 0.5349 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5055 | Dis Loss (Avg): 0.5321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5032 | Dis Loss (Avg): 0.5461 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.5018 | Dis Loss (Avg): 0.5431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4949 | Dis Loss (Avg): 0.5413 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4907 | Dis Loss (Avg): 0.5401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4911 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4959 | Dis Loss (Avg): 0.5348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4931 | Dis Loss (Avg): 0.5531 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4853 | Dis Loss (Avg): 0.5550 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/19 | Batch: 0/1 | Gen Loss (Avg): 1.4810 | Dis Loss (Avg): 0.5533 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.57 min Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4821 | Dis Loss (Avg): 0.5502 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4865 | Dis Loss (Avg): 0.5462 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4859 | Dis Loss (Avg): 0.5426 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4832 | Dis Loss (Avg): 0.5398 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4822 | Dis Loss (Avg): 0.5374 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4840 | Dis Loss (Avg): 0.5345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4812 | Dis Loss (Avg): 0.5366 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4723 | Dis Loss (Avg): 0.5351 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4650 | Dis Loss (Avg): 0.5366 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4628 | Dis Loss (Avg): 0.5367 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4590 | Dis Loss (Avg): 0.5412 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4597 | Dis Loss (Avg): 0.5382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4654 | Dis Loss (Avg): 0.5344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4730 | Dis Loss (Avg): 0.5304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4785 | Dis Loss (Avg): 0.5266 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/19 | Batch: 0/1 | Gen Loss (Avg): 1.4765 | Dis Loss (Avg): 0.5251 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.65 min Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4663 | Dis Loss (Avg): 0.5291 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4584 | Dis Loss (Avg): 0.5328 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4546 | Dis Loss (Avg): 0.5335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4568 | Dis Loss (Avg): 0.5323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4576 | Dis Loss (Avg): 0.5299 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4493 | Dis Loss (Avg): 0.5316 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.5373 | Real Acc: 100.00% | Fake Acc: 25.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4426 | Dis Loss (Avg): 0.5405 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4368 | Dis Loss (Avg): 0.5439 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4291 | Dis Loss (Avg): 0.5473 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4305 | Dis Loss (Avg): 0.5484 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4230 | Dis Loss (Avg): 0.5613 | Real Acc: 87.50% | Fake Acc: 37.50% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4197 | Dis Loss (Avg): 0.5620 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4139 | Dis Loss (Avg): 0.5600 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4193 | Dis Loss (Avg): 0.5581 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/19 | Batch: 0/1 | Gen Loss (Avg): 1.4388 | Dis Loss (Avg): 0.5537 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.72 min Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4448 | Dis Loss (Avg): 0.5519 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4364 | Dis Loss (Avg): 0.5902 | Real Acc: 81.25% | Fake Acc: 18.75% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4377 | Dis Loss (Avg): 0.5870 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4446 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4527 | Dis Loss (Avg): 0.5826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4611 | Dis Loss (Avg): 0.5782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.5991 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4441 | Dis Loss (Avg): 0.5995 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5972 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4329 | Dis Loss (Avg): 0.5950 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4337 | Dis Loss (Avg): 0.5918 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5875 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4463 | Dis Loss (Avg): 0.5827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/19 | Batch: 0/1 | Gen Loss (Avg): 1.4447 | Dis Loss (Avg): 0.5809 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.79 min Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4431 | Dis Loss (Avg): 0.5792 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5956 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4304 | Dis Loss (Avg): 0.5962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4299 | Dis Loss (Avg): 0.5932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4330 | Dis Loss (Avg): 0.5892 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4314 | Dis Loss (Avg): 0.6002 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4307 | Dis Loss (Avg): 0.5961 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4332 | Dis Loss (Avg): 0.5919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5853 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4385 | Dis Loss (Avg): 0.5812 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4386 | Dis Loss (Avg): 0.5773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.5733 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4435 | Dis Loss (Avg): 0.5693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4397 | Dis Loss (Avg): 0.5704 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 12/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.5673 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.86 min Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4349 | Dis Loss (Avg): 0.5643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4340 | Dis Loss (Avg): 0.5641 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.5608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4379 | Dis Loss (Avg): 0.5573 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4427 | Dis Loss (Avg): 0.5536 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4492 | Dis Loss (Avg): 0.5500 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4437 | Dis Loss (Avg): 0.5648 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4313 | Dis Loss (Avg): 0.5749 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4202 | Dis Loss (Avg): 0.5797 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4144 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4111 | Dis Loss (Avg): 0.5791 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4149 | Dis Loss (Avg): 0.5761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4153 | Dis Loss (Avg): 0.5826 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4194 | Dis Loss (Avg): 0.5799 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4271 | Dis Loss (Avg): 0.5764 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5718 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.93 min Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4373 | Dis Loss (Avg): 0.6093 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4300 | Dis Loss (Avg): 0.6202 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4312 | Dis Loss (Avg): 0.6203 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4416 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4407 | Dis Loss (Avg): 0.6314 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4402 | Dis Loss (Avg): 0.6296 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4454 | Dis Loss (Avg): 0.6266 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.6348 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4350 | Dis Loss (Avg): 0.6415 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4302 | Dis Loss (Avg): 0.6407 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.6369 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4395 | Dis Loss (Avg): 0.6318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.6261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4623 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4630 | Dis Loss (Avg): 0.6219 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/19 | Batch: 0/1 | Gen Loss (Avg): 1.4548 | Dis Loss (Avg): 0.6186 | Real Acc: 93.75% | Fake Acc: 18.75% Time elapsed: 1.00 min Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4461 | Dis Loss (Avg): 0.6176 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4398 | Dis Loss (Avg): 0.6164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4346 | Dis Loss (Avg): 0.6147 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4318 | Dis Loss (Avg): 0.6114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4323 | Dis Loss (Avg): 0.6073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4361 | Dis Loss (Avg): 0.6027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4359 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5993 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5951 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4378 | Dis Loss (Avg): 0.5909 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4411 | Dis Loss (Avg): 0.5866 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4399 | Dis Loss (Avg): 0.5984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4384 | Dis Loss (Avg): 0.5954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4387 | Dis Loss (Avg): 0.5897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/19 | Batch: 0/1 | Gen Loss (Avg): 1.4342 | Dis Loss (Avg): 0.5974 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.06 min Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4263 | Dis Loss (Avg): 0.6001 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4222 | Dis Loss (Avg): 0.5987 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4233 | Dis Loss (Avg): 0.5956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4289 | Dis Loss (Avg): 0.5912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4369 | Dis Loss (Avg): 0.5863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4439 | Dis Loss (Avg): 0.5815 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4495 | Dis Loss (Avg): 0.5769 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4557 | Dis Loss (Avg): 0.5724 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4627 | Dis Loss (Avg): 0.5679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4622 | Dis Loss (Avg): 0.5663 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4624 | Dis Loss (Avg): 0.5649 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4564 | Dis Loss (Avg): 0.5876 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4555 | Dis Loss (Avg): 0.5872 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4533 | Dis Loss (Avg): 0.5842 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4543 | Dis Loss (Avg): 0.5810 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/19 | Batch: 0/1 | Gen Loss (Avg): 1.4523 | Dis Loss (Avg): 0.5856 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.13 min Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4449 | Dis Loss (Avg): 0.5850 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4413 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4436 | Dis Loss (Avg): 0.5818 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4467 | Dis Loss (Avg): 0.5821 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4519 | Dis Loss (Avg): 0.5775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4509 | Dis Loss (Avg): 0.5816 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4501 | Dis Loss (Avg): 0.5781 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4433 | Dis Loss (Avg): 0.5728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4380 | Dis Loss (Avg): 0.5761 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4362 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4375 | Dis Loss (Avg): 0.5709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4352 | Dis Loss (Avg): 0.5693 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4327 | Dis Loss (Avg): 0.5660 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4326 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/19 | Batch: 0/1 | Gen Loss (Avg): 1.4353 | Dis Loss (Avg): 0.5585 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.21 min Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4405 | Dis Loss (Avg): 0.5541 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4474 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4545 | Dis Loss (Avg): 0.5449 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4526 | Dis Loss (Avg): 0.5520 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4484 | Dis Loss (Avg): 0.5496 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4458 | Dis Loss (Avg): 0.5479 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4459 | Dis Loss (Avg): 0.5454 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4451 | Dis Loss (Avg): 0.5495 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4456 | Dis Loss (Avg): 0.5464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.5432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 0.5482 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4382 | Dis Loss (Avg): 0.5499 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4358 | Dis Loss (Avg): 0.5491 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4391 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4477 | Dis Loss (Avg): 0.5418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/19 | Batch: 0/1 | Gen Loss (Avg): 1.4595 | Dis Loss (Avg): 0.5372 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.28 min Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4618 | Dis Loss (Avg): 0.5523 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4610 | Dis Loss (Avg): 0.5487 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4544 | Dis Loss (Avg): 0.5615 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4491 | Dis Loss (Avg): 0.5601 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5579 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4530 | Dis Loss (Avg): 0.5503 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4511 | Dis Loss (Avg): 0.5550 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4471 | Dis Loss (Avg): 0.5519 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4442 | Dis Loss (Avg): 0.5492 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4432 | Dis Loss (Avg): 0.5460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4443 | Dis Loss (Avg): 0.5423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4476 | Dis Loss (Avg): 0.5384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4524 | Dis Loss (Avg): 0.5342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4521 | Dis Loss (Avg): 0.5392 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/19 | Batch: 0/1 | Gen Loss (Avg): 1.4487 | Dis Loss (Avg): 0.5359 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:30:57,526] Trial 0 finished with value: 0.5359116051540715 and parameters: {'latent_dim': 176, 'lr_gen': 0.0001836872559754816, 'lr_discr': 0.0010086100436401011, 'batch_size': 40, 'num_epochs': 19}. Best is trial 0 with value: 0.5359116051540715.
Time elapsed: 1.35 min Total Training Time: 1.35 min Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0097 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0153 | Dis Loss (Avg): 0.0331 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0403 | Dis Loss (Avg): 0.0580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0474 | Dis Loss (Avg): 0.0919 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0719 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0766 | Dis Loss (Avg): 0.1265 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0879 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1048 | Dis Loss (Avg): 0.1491 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1147 | Dis Loss (Avg): 0.1649 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.1768 | Dis Loss (Avg): 0.1792 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2306 | Dis Loss (Avg): 0.1786 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2673 | Dis Loss (Avg): 0.1788 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2795 | Dis Loss (Avg): 0.1822 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2799 | Dis Loss (Avg): 0.1895 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2970 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.3406 | Dis Loss (Avg): 0.2130 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3515 | Dis Loss (Avg): 0.2293 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2348 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3879 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.3962 | Dis Loss (Avg): 0.2515 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4131 | Dis Loss (Avg): 0.2541 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4195 | Dis Loss (Avg): 0.2577 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4292 | Dis Loss (Avg): 0.2609 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4361 | Dis Loss (Avg): 0.2875 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4446 | Dis Loss (Avg): 0.2895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4467 | Dis Loss (Avg): 0.2938 | Real Acc: 68.75% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4537 | Dis Loss (Avg): 0.2970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4584 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4570 | Dis Loss (Avg): 0.3004 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4609 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4801 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 0.4841 | Dis Loss (Avg): 0.3550 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.3555 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3607 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4891 | Dis Loss (Avg): 0.3640 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.4981 | Dis Loss (Avg): 0.3647 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5032 | Dis Loss (Avg): 0.3737 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5035 | Dis Loss (Avg): 0.3739 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5059 | Dis Loss (Avg): 0.3757 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5135 | Dis Loss (Avg): 0.3760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5145 | Dis Loss (Avg): 0.3835 | Real Acc: 68.75% | Fake Acc: 6.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5185 | Dis Loss (Avg): 0.3843 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5169 | Dis Loss (Avg): 0.3884 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5213 | Dis Loss (Avg): 0.3924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5304 | Dis Loss (Avg): 0.3927 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5280 | Dis Loss (Avg): 0.4015 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.4041 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.4036 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5579 | Dis Loss (Avg): 0.4493 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5580 | Dis Loss (Avg): 0.4652 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5648 | Dis Loss (Avg): 0.4654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5724 | Dis Loss (Avg): 0.4648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5817 | Dis Loss (Avg): 0.4669 | Real Acc: 56.25% | Fake Acc: 75.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5861 | Dis Loss (Avg): 0.4677 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5935 | Dis Loss (Avg): 0.4689 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5942 | Dis Loss (Avg): 0.4721 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.5991 | Dis Loss (Avg): 0.4724 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6026 | Dis Loss (Avg): 0.4727 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6007 | Dis Loss (Avg): 0.4802 | Real Acc: 50.00% | Fake Acc: 12.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4821 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6159 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6173 | Dis Loss (Avg): 0.5019 | Real Acc: 37.50% | Fake Acc: 62.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6146 | Dis Loss (Avg): 0.5039 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.5063 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 0.27 min Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.5077 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6296 | Dis Loss (Avg): 0.5461 | Real Acc: 37.50% | Fake Acc: 25.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6310 | Dis Loss (Avg): 0.5509 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6435 | Dis Loss (Avg): 0.5495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6439 | Dis Loss (Avg): 0.5509 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6461 | Dis Loss (Avg): 0.5501 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.5538 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6457 | Dis Loss (Avg): 0.5564 | Real Acc: 87.50% | Fake Acc: 43.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6536 | Dis Loss (Avg): 0.5559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6535 | Dis Loss (Avg): 0.5614 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.5616 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6577 | Dis Loss (Avg): 0.5632 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6627 | Dis Loss (Avg): 0.5625 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6617 | Dis Loss (Avg): 0.5702 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6653 | Dis Loss (Avg): 0.5702 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 0.6639 | Dis Loss (Avg): 0.5692 | Real Acc: 81.25% | Fake Acc: 12.50% Time elapsed: 0.34 min Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6662 | Dis Loss (Avg): 0.5697 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.5734 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6650 | Dis Loss (Avg): 0.5730 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6687 | Dis Loss (Avg): 0.5736 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6756 | Dis Loss (Avg): 0.5728 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6800 | Dis Loss (Avg): 0.5724 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6797 | Dis Loss (Avg): 0.5883 | Real Acc: 50.00% | Fake Acc: 37.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6849 | Dis Loss (Avg): 0.5868 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6843 | Dis Loss (Avg): 0.5858 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6907 | Dis Loss (Avg): 0.5855 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6955 | Dis Loss (Avg): 0.5840 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6922 | Dis Loss (Avg): 0.5855 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.6923 | Dis Loss (Avg): 0.5870 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7051 | Dis Loss (Avg): 0.5858 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7068 | Dis Loss (Avg): 0.6058 | Real Acc: 31.25% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 0.7021 | Dis Loss (Avg): 0.6064 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7052 | Dis Loss (Avg): 0.6111 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7213 | Dis Loss (Avg): 0.6122 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7218 | Dis Loss (Avg): 0.6366 | Real Acc: 56.25% | Fake Acc: 43.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7205 | Dis Loss (Avg): 0.6429 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7259 | Dis Loss (Avg): 0.6427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7351 | Dis Loss (Avg): 0.6391 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7324 | Dis Loss (Avg): 0.6379 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7348 | Dis Loss (Avg): 0.6401 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7451 | Dis Loss (Avg): 0.6730 | Real Acc: 18.75% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7428 | Dis Loss (Avg): 0.6736 | Real Acc: 81.25% | Fake Acc: 37.50% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7461 | Dis Loss (Avg): 0.6750 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7447 | Dis Loss (Avg): 0.6833 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7534 | Dis Loss (Avg): 0.6823 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7547 | Dis Loss (Avg): 0.7030 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 0.7507 | Dis Loss (Avg): 0.7035 | Real Acc: 62.50% | Fake Acc: 0.00% Time elapsed: 0.48 min Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7498 | Dis Loss (Avg): 0.7037 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7544 | Dis Loss (Avg): 0.7015 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7546 | Dis Loss (Avg): 0.7031 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7560 | Dis Loss (Avg): 0.7003 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7602 | Dis Loss (Avg): 0.6971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7607 | Dis Loss (Avg): 0.6957 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7637 | Dis Loss (Avg): 0.6924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7614 | Dis Loss (Avg): 0.6911 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7624 | Dis Loss (Avg): 0.6912 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7626 | Dis Loss (Avg): 0.6900 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7642 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7689 | Dis Loss (Avg): 0.6851 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7645 | Dis Loss (Avg): 0.6848 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7646 | Dis Loss (Avg): 0.6848 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7740 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 0.7744 | Dis Loss (Avg): 0.6964 | Real Acc: 50.00% | Fake Acc: 87.50% Time elapsed: 0.54 min Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7767 | Dis Loss (Avg): 0.6934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7743 | Dis Loss (Avg): 0.6927 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7811 | Dis Loss (Avg): 0.6909 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.6902 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7875 | Dis Loss (Avg): 0.6880 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7893 | Dis Loss (Avg): 0.6928 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7861 | Dis Loss (Avg): 0.6943 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7892 | Dis Loss (Avg): 0.6950 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7890 | Dis Loss (Avg): 0.6955 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7883 | Dis Loss (Avg): 0.6973 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7908 | Dis Loss (Avg): 0.6954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7957 | Dis Loss (Avg): 0.6920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6912 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7958 | Dis Loss (Avg): 0.6885 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6874 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 0.7928 | Dis Loss (Avg): 0.6863 | Real Acc: 100.00% | Fake Acc: 75.00% Time elapsed: 0.61 min Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7964 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6905 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7937 | Dis Loss (Avg): 0.6875 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7935 | Dis Loss (Avg): 0.6865 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6839 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7960 | Dis Loss (Avg): 0.6819 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6904 | Real Acc: 50.00% | Fake Acc: 31.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7894 | Dis Loss (Avg): 0.6884 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7902 | Dis Loss (Avg): 0.6886 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7970 | Dis Loss (Avg): 0.6864 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7961 | Dis Loss (Avg): 0.6919 | Real Acc: 43.75% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7941 | Dis Loss (Avg): 0.6896 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6875 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7932 | Dis Loss (Avg): 0.6871 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7949 | Dis Loss (Avg): 0.6846 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 0.7936 | Dis Loss (Avg): 0.6817 | Real Acc: 87.50% | Fake Acc: 50.00% Time elapsed: 0.68 min Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7954 | Dis Loss (Avg): 0.6800 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.6816 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7947 | Dis Loss (Avg): 0.6790 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7921 | Dis Loss (Avg): 0.6763 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.6743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7994 | Dis Loss (Avg): 0.6710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7996 | Dis Loss (Avg): 0.6859 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7980 | Dis Loss (Avg): 0.6834 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7998 | Dis Loss (Avg): 0.6813 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8072 | Dis Loss (Avg): 0.6786 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8063 | Dis Loss (Avg): 0.6847 | Real Acc: 75.00% | Fake Acc: 87.50% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8017 | Dis Loss (Avg): 0.6844 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.7987 | Dis Loss (Avg): 0.6856 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8053 | Dis Loss (Avg): 0.6838 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8046 | Dis Loss (Avg): 0.6875 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 0.8013 | Dis Loss (Avg): 0.6845 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.75 min Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8030 | Dis Loss (Avg): 0.6826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8146 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6856 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8143 | Dis Loss (Avg): 0.6842 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8199 | Dis Loss (Avg): 0.6830 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8211 | Dis Loss (Avg): 0.6794 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6784 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8155 | Dis Loss (Avg): 0.6778 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6755 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6768 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6739 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8236 | Dis Loss (Avg): 0.6707 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8219 | Dis Loss (Avg): 0.6683 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8229 | Dis Loss (Avg): 0.6661 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6639 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 0.8228 | Dis Loss (Avg): 0.6626 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.82 min Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8232 | Dis Loss (Avg): 0.6597 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8216 | Dis Loss (Avg): 0.6566 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8204 | Dis Loss (Avg): 0.6549 | Real Acc: 75.00% | Fake Acc: 6.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8209 | Dis Loss (Avg): 0.6551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8247 | Dis Loss (Avg): 0.6517 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6525 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8205 | Dis Loss (Avg): 0.6521 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8213 | Dis Loss (Avg): 0.6495 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8175 | Dis Loss (Avg): 0.6479 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6470 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8177 | Dis Loss (Avg): 0.6445 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6448 | Real Acc: 56.25% | Fake Acc: 12.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6425 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8165 | Dis Loss (Avg): 0.6397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 0.8130 | Dis Loss (Avg): 0.6380 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.89 min Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6373 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8113 | Dis Loss (Avg): 0.6351 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8122 | Dis Loss (Avg): 0.6339 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8110 | Dis Loss (Avg): 0.6315 | Real Acc: 87.50% | Fake Acc: 43.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8111 | Dis Loss (Avg): 0.6299 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6283 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8103 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8136 | Dis Loss (Avg): 0.6235 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8141 | Dis Loss (Avg): 0.6214 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8095 | Dis Loss (Avg): 0.6195 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8090 | Dis Loss (Avg): 0.6201 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8148 | Dis Loss (Avg): 0.6192 | Real Acc: 56.25% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8157 | Dis Loss (Avg): 0.6166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8168 | Dis Loss (Avg): 0.6141 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 0.8115 | Dis Loss (Avg): 0.6121 | Real Acc: 81.25% | Fake Acc: 6.25% Time elapsed: 0.96 min Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8078 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8088 | Dis Loss (Avg): 0.6195 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8108 | Dis Loss (Avg): 0.6181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8163 | Dis Loss (Avg): 0.6156 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8144 | Dis Loss (Avg): 0.6143 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8147 | Dis Loss (Avg): 0.6132 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8174 | Dis Loss (Avg): 0.6112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8160 | Dis Loss (Avg): 0.6094 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8171 | Dis Loss (Avg): 0.6087 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8140 | Dis Loss (Avg): 0.6094 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8152 | Dis Loss (Avg): 0.6084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8203 | Dis Loss (Avg): 0.6058 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8176 | Dis Loss (Avg): 0.6033 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8217 | Dis Loss (Avg): 0.6028 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 0.8206 | Dis Loss (Avg): 0.6045 | Real Acc: 50.00% | Fake Acc: 68.75% Time elapsed: 1.03 min Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8201 | Dis Loss (Avg): 0.6032 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8218 | Dis Loss (Avg): 0.6017 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8275 | Dis Loss (Avg): 0.5984 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.6023 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.6007 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8283 | Dis Loss (Avg): 0.5983 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8263 | Dis Loss (Avg): 0.6005 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8255 | Dis Loss (Avg): 0.5986 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8267 | Dis Loss (Avg): 0.5968 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8257 | Dis Loss (Avg): 0.5980 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8261 | Dis Loss (Avg): 0.5959 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8285 | Dis Loss (Avg): 0.5923 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.5920 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8281 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 0.8265 | Dis Loss (Avg): 0.5894 | Real Acc: 62.50% | Fake Acc: 31.25% Time elapsed: 1.09 min Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8297 | Dis Loss (Avg): 0.5884 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8291 | Dis Loss (Avg): 0.5884 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8292 | Dis Loss (Avg): 0.5903 | Real Acc: 81.25% | Fake Acc: 87.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8301 | Dis Loss (Avg): 0.5883 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8334 | Dis Loss (Avg): 0.5865 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8366 | Dis Loss (Avg): 0.5841 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.5889 | Real Acc: 56.25% | Fake Acc: 12.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8322 | Dis Loss (Avg): 0.5901 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.5889 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5912 | Real Acc: 43.75% | Fake Acc: 6.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8327 | Dis Loss (Avg): 0.5894 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8317 | Dis Loss (Avg): 0.5880 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.5861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.5844 | Real Acc: 81.25% | Fake Acc: 25.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8313 | Dis Loss (Avg): 0.5845 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.5844 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 1.17 min Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8359 | Dis Loss (Avg): 0.5871 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8370 | Dis Loss (Avg): 0.5882 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8467 | Dis Loss (Avg): 0.5883 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.5873 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8544 | Dis Loss (Avg): 0.5855 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8531 | Dis Loss (Avg): 0.5861 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8571 | Dis Loss (Avg): 0.5846 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.5871 | Real Acc: 62.50% | Fake Acc: 18.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6044 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8628 | Dis Loss (Avg): 0.6038 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8678 | Dis Loss (Avg): 0.6026 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8641 | Dis Loss (Avg): 0.6026 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8619 | Dis Loss (Avg): 0.6039 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8676 | Dis Loss (Avg): 0.6026 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:32:12,307] Trial 1 finished with value: 0.6037378536689132 and parameters: {'latent_dim': 142, 'lr_gen': 0.0031240825509457324, 'lr_discr': 0.0006767615263879749, 'batch_size': 41, 'num_epochs': 18}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8682 | Dis Loss (Avg): 0.6049 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 0.8699 | Dis Loss (Avg): 0.6037 | Real Acc: 93.75% | Fake Acc: 93.75% Time elapsed: 1.24 min Total Training Time: 1.24 min Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0086 | Dis Loss (Avg): 0.0070 | Real Acc: 0.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0144 | Dis Loss (Avg): 0.0182 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0325 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0367 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0453 | Dis Loss (Avg): 0.0554 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0583 | Dis Loss (Avg): 0.0640 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0737 | Dis Loss (Avg): 0.0682 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0830 | Dis Loss (Avg): 0.0720 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0886 | Dis Loss (Avg): 0.0761 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0965 | Dis Loss (Avg): 0.0796 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1052 | Dis Loss (Avg): 0.0827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1143 | Dis Loss (Avg): 0.0857 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1221 | Dis Loss (Avg): 0.0886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1279 | Dis Loss (Avg): 0.0920 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1361 | Dis Loss (Avg): 0.0967 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.1403 | Dis Loss (Avg): 0.1047 | Real Acc: 56.25% | Fake Acc: 0.00% Time elapsed: 0.07 min Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1490 | Dis Loss (Avg): 0.1117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1694 | Dis Loss (Avg): 0.1150 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1833 | Dis Loss (Avg): 0.1165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.1963 | Dis Loss (Avg): 0.1200 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2153 | Dis Loss (Avg): 0.1221 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1299 | Real Acc: 68.75% | Fake Acc: 56.25% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2301 | Dis Loss (Avg): 0.1323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2377 | Dis Loss (Avg): 0.1351 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2477 | Dis Loss (Avg): 0.1377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2506 | Dis Loss (Avg): 0.1621 | Real Acc: 31.25% | Fake Acc: 0.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2562 | Dis Loss (Avg): 0.1653 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2657 | Dis Loss (Avg): 0.1679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2712 | Dis Loss (Avg): 0.1705 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2767 | Dis Loss (Avg): 0.1728 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2829 | Dis Loss (Avg): 0.1753 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 0.2859 | Dis Loss (Avg): 0.1783 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.14 min Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.2921 | Dis Loss (Avg): 0.1810 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3002 | Dis Loss (Avg): 0.1830 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3034 | Dis Loss (Avg): 0.1850 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3078 | Dis Loss (Avg): 0.1881 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3147 | Dis Loss (Avg): 0.1903 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.1915 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3219 | Dis Loss (Avg): 0.1939 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3223 | Dis Loss (Avg): 0.2021 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3276 | Dis Loss (Avg): 0.2075 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3305 | Dis Loss (Avg): 0.2098 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3374 | Dis Loss (Avg): 0.2124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3401 | Dis Loss (Avg): 0.2140 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3474 | Dis Loss (Avg): 0.2166 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3503 | Dis Loss (Avg): 0.2191 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3594 | Dis Loss (Avg): 0.2215 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 0.3610 | Dis Loss (Avg): 0.2332 | Real Acc: 56.25% | Fake Acc: 0.00% Time elapsed: 0.20 min Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3665 | Dis Loss (Avg): 0.2362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3683 | Dis Loss (Avg): 0.2389 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3741 | Dis Loss (Avg): 0.2412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3765 | Dis Loss (Avg): 0.2429 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3818 | Dis Loss (Avg): 0.2447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3898 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3919 | Dis Loss (Avg): 0.2538 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.3959 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4037 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4051 | Dis Loss (Avg): 0.2628 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4081 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4141 | Dis Loss (Avg): 0.2667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4167 | Dis Loss (Avg): 0.2693 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4200 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4241 | Dis Loss (Avg): 0.2715 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 0.4242 | Dis Loss (Avg): 0.2724 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.27 min Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4374 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4401 | Dis Loss (Avg): 0.2832 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4429 | Dis Loss (Avg): 0.2843 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4479 | Dis Loss (Avg): 0.2852 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4604 | Dis Loss (Avg): 0.3014 | Real Acc: 43.75% | Fake Acc: 93.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3024 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4603 | Dis Loss (Avg): 0.3058 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3082 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4679 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4687 | Dis Loss (Avg): 0.3177 | Real Acc: 62.50% | Fake Acc: 25.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4720 | Dis Loss (Avg): 0.3206 | Real Acc: 100.00% | Fake Acc: 43.75% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4745 | Dis Loss (Avg): 0.3245 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4827 | Dis Loss (Avg): 0.3269 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 0.4848 | Dis Loss (Avg): 0.3318 | Real Acc: 68.75% | Fake Acc: 43.75% Time elapsed: 0.34 min Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4863 | Dis Loss (Avg): 0.3349 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4938 | Dis Loss (Avg): 0.3371 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3448 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3481 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5024 | Dis Loss (Avg): 0.3488 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5043 | Dis Loss (Avg): 0.3560 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5055 | Dis Loss (Avg): 0.3569 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5091 | Dis Loss (Avg): 0.3585 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5113 | Dis Loss (Avg): 0.3609 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5158 | Dis Loss (Avg): 0.3623 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5195 | Dis Loss (Avg): 0.3629 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5197 | Dis Loss (Avg): 0.3637 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5225 | Dis Loss (Avg): 0.3659 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5326 | Dis Loss (Avg): 0.3662 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3876 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 0.5351 | Dis Loss (Avg): 0.3966 | Real Acc: 50.00% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5375 | Dis Loss (Avg): 0.3984 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5542 | Dis Loss (Avg): 0.3981 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5577 | Dis Loss (Avg): 0.3997 | Real Acc: 62.50% | Fake Acc: 62.50% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5552 | Dis Loss (Avg): 0.4027 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5561 | Dis Loss (Avg): 0.4076 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5632 | Dis Loss (Avg): 0.4078 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5665 | Dis Loss (Avg): 0.4147 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5664 | Dis Loss (Avg): 0.4143 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5668 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5706 | Dis Loss (Avg): 0.4158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5708 | Dis Loss (Avg): 0.4177 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5714 | Dis Loss (Avg): 0.4199 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5747 | Dis Loss (Avg): 0.4202 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5749 | Dis Loss (Avg): 0.4219 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5759 | Dis Loss (Avg): 0.4225 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 0.5799 | Dis Loss (Avg): 0.4223 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 0.48 min Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5811 | Dis Loss (Avg): 0.4246 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5833 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.4237 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.4253 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5934 | Dis Loss (Avg): 0.4258 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5936 | Dis Loss (Avg): 0.4255 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5963 | Dis Loss (Avg): 0.4258 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5975 | Dis Loss (Avg): 0.4257 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5999 | Dis Loss (Avg): 0.4253 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5973 | Dis Loss (Avg): 0.4251 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.5974 | Dis Loss (Avg): 0.4275 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6036 | Dis Loss (Avg): 0.4276 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6059 | Dis Loss (Avg): 0.4339 | Real Acc: 50.00% | Fake Acc: 87.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6046 | Dis Loss (Avg): 0.4341 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6051 | Dis Loss (Avg): 0.4351 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 0.6104 | Dis Loss (Avg): 0.4354 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.55 min Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6118 | Dis Loss (Avg): 0.4375 | Real Acc: 75.00% | Fake Acc: 87.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6123 | Dis Loss (Avg): 0.4378 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6148 | Dis Loss (Avg): 0.4408 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6194 | Dis Loss (Avg): 0.4399 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4396 | Real Acc: 87.50% | Fake Acc: 81.25% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6283 | Dis Loss (Avg): 0.4387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6278 | Dis Loss (Avg): 0.4414 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6293 | Dis Loss (Avg): 0.4418 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6352 | Dis Loss (Avg): 0.4415 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4453 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6354 | Dis Loss (Avg): 0.4457 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6380 | Dis Loss (Avg): 0.4500 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6384 | Dis Loss (Avg): 0.4503 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6418 | Dis Loss (Avg): 0.4503 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6420 | Dis Loss (Avg): 0.4498 | Real Acc: 93.75% | Fake Acc: 31.25% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 0.6423 | Dis Loss (Avg): 0.4511 | Real Acc: 93.75% | Fake Acc: 31.25% Time elapsed: 0.62 min Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4517 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6456 | Dis Loss (Avg): 0.4514 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6484 | Dis Loss (Avg): 0.4527 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.4533 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6516 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6602 | Dis Loss (Avg): 0.4528 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6578 | Dis Loss (Avg): 0.4556 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6593 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6682 | Dis Loss (Avg): 0.4571 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6679 | Dis Loss (Avg): 0.4704 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6680 | Dis Loss (Avg): 0.4748 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6720 | Dis Loss (Avg): 0.4797 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6833 | Dis Loss (Avg): 0.4817 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6852 | Dis Loss (Avg): 0.4831 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6853 | Dis Loss (Avg): 0.4848 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 0.6936 | Dis Loss (Avg): 0.4850 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.68 min Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6935 | Dis Loss (Avg): 0.4909 | Real Acc: 56.25% | Fake Acc: 56.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6924 | Dis Loss (Avg): 0.4982 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.6946 | Dis Loss (Avg): 0.5022 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7073 | Dis Loss (Avg): 0.5029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7100 | Dis Loss (Avg): 0.5110 | Real Acc: 75.00% | Fake Acc: 37.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7171 | Dis Loss (Avg): 0.5103 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7191 | Dis Loss (Avg): 0.5192 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7156 | Dis Loss (Avg): 0.5190 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7144 | Dis Loss (Avg): 0.5216 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7193 | Dis Loss (Avg): 0.5222 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7195 | Dis Loss (Avg): 0.5224 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7297 | Dis Loss (Avg): 0.5225 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7314 | Dis Loss (Avg): 0.5223 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7301 | Dis Loss (Avg): 0.5208 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7332 | Dis Loss (Avg): 0.5211 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 0.7312 | Dis Loss (Avg): 0.5259 | Real Acc: 68.75% | Fake Acc: 6.25% Time elapsed: 0.75 min Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7331 | Dis Loss (Avg): 0.5253 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7305 | Dis Loss (Avg): 0.5265 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7321 | Dis Loss (Avg): 0.5268 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7364 | Dis Loss (Avg): 0.5261 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7376 | Dis Loss (Avg): 0.5258 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7399 | Dis Loss (Avg): 0.5269 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7372 | Dis Loss (Avg): 0.5285 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7402 | Dis Loss (Avg): 0.5296 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7459 | Dis Loss (Avg): 0.5288 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7441 | Dis Loss (Avg): 0.5323 | Real Acc: 43.75% | Fake Acc: 31.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7448 | Dis Loss (Avg): 0.5340 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5350 | Real Acc: 87.50% | Fake Acc: 56.25% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7460 | Dis Loss (Avg): 0.5364 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7496 | Dis Loss (Avg): 0.5416 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7501 | Dis Loss (Avg): 0.5446 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 0.7504 | Dis Loss (Avg): 0.5466 | Real Acc: 87.50% | Fake Acc: 68.75% Time elapsed: 0.82 min Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7495 | Dis Loss (Avg): 0.5531 | Real Acc: 75.00% | Fake Acc: 31.25% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7465 | Dis Loss (Avg): 0.5543 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7506 | Dis Loss (Avg): 0.5544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7558 | Dis Loss (Avg): 0.5537 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7577 | Dis Loss (Avg): 0.5564 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7590 | Dis Loss (Avg): 0.5557 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7737 | Dis Loss (Avg): 0.5545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7803 | Dis Loss (Avg): 0.5542 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7812 | Dis Loss (Avg): 0.5588 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8005 | Dis Loss (Avg): 0.5568 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8056 | Dis Loss (Avg): 0.5658 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7999 | Dis Loss (Avg): 0.5653 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7944 | Dis Loss (Avg): 0.5730 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.7926 | Dis Loss (Avg): 0.5756 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8044 | Dis Loss (Avg): 0.5742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 0.8066 | Dis Loss (Avg): 0.5901 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8024 | Dis Loss (Avg): 0.5899 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8010 | Dis Loss (Avg): 0.5908 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8075 | Dis Loss (Avg): 0.5903 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8099 | Dis Loss (Avg): 0.5941 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8082 | Dis Loss (Avg): 0.5956 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8094 | Dis Loss (Avg): 0.5979 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8105 | Dis Loss (Avg): 0.5976 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8112 | Dis Loss (Avg): 0.5971 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8149 | Dis Loss (Avg): 0.5964 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8169 | Dis Loss (Avg): 0.6009 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8221 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6070 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8256 | Dis Loss (Avg): 0.6081 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8243 | Dis Loss (Avg): 0.6105 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8212 | Dis Loss (Avg): 0.6096 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 0.8238 | Dis Loss (Avg): 0.6093 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.95 min Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6064 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8296 | Dis Loss (Avg): 0.6132 | Real Acc: 37.50% | Fake Acc: 62.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8270 | Dis Loss (Avg): 0.6180 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8293 | Dis Loss (Avg): 0.6199 | Real Acc: 100.00% | Fake Acc: 43.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8302 | Dis Loss (Avg): 0.6200 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8395 | Dis Loss (Avg): 0.6184 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8353 | Dis Loss (Avg): 0.6206 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6215 | Real Acc: 100.00% | Fake Acc: 50.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8325 | Dis Loss (Avg): 0.6214 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8346 | Dis Loss (Avg): 0.6208 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8339 | Dis Loss (Avg): 0.6223 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8336 | Dis Loss (Avg): 0.6218 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8385 | Dis Loss (Avg): 0.6215 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8379 | Dis Loss (Avg): 0.6248 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8326 | Dis Loss (Avg): 0.6236 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6239 | Real Acc: 100.00% | Fake Acc: 25.00% Time elapsed: 1.02 min Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6232 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8373 | Dis Loss (Avg): 0.6265 | Real Acc: 56.25% | Fake Acc: 87.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6250 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8306 | Dis Loss (Avg): 0.6253 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8328 | Dis Loss (Avg): 0.6247 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8329 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8303 | Dis Loss (Avg): 0.6223 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8305 | Dis Loss (Avg): 0.6220 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8315 | Dis Loss (Avg): 0.6201 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8347 | Dis Loss (Avg): 0.6190 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8314 | Dis Loss (Avg): 0.6188 | Real Acc: 56.25% | Fake Acc: 6.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8299 | Dis Loss (Avg): 0.6188 | Real Acc: 93.75% | Fake Acc: 37.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8369 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8372 | Dis Loss (Avg): 0.6204 | Real Acc: 62.50% | Fake Acc: 87.50% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8321 | Dis Loss (Avg): 0.6197 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 0.8287 | Dis Loss (Avg): 0.6227 | Real Acc: 100.00% | Fake Acc: 6.25% Time elapsed: 1.09 min Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8304 | Dis Loss (Avg): 0.6231 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8308 | Dis Loss (Avg): 0.6244 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8392 | Dis Loss (Avg): 0.6256 | Real Acc: 87.50% | Fake Acc: 31.25% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8367 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8374 | Dis Loss (Avg): 0.6318 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8387 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8338 | Dis Loss (Avg): 0.6295 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8342 | Dis Loss (Avg): 0.6290 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8404 | Dis Loss (Avg): 0.6278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8381 | Dis Loss (Avg): 0.6336 | Real Acc: 37.50% | Fake Acc: 25.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6341 | Real Acc: 100.00% | Fake Acc: 37.50% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8396 | Dis Loss (Avg): 0.6339 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8415 | Dis Loss (Avg): 0.6324 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6315 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8407 | Dis Loss (Avg): 0.6307 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 0.8414 | Dis Loss (Avg): 0.6294 | Real Acc: 87.50% | Fake Acc: 81.25% Time elapsed: 1.16 min Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8386 | Dis Loss (Avg): 0.6290 | Real Acc: 81.25% | Fake Acc: 6.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8388 | Dis Loss (Avg): 0.6279 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8426 | Dis Loss (Avg): 0.6260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8425 | Dis Loss (Avg): 0.6257 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8406 | Dis Loss (Avg): 0.6239 | Real Acc: 93.75% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8410 | Dis Loss (Avg): 0.6231 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.6212 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8433 | Dis Loss (Avg): 0.6206 | Real Acc: 62.50% | Fake Acc: 31.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8456 | Dis Loss (Avg): 0.6204 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8504 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8490 | Dis Loss (Avg): 0.6254 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8459 | Dis Loss (Avg): 0.6261 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8475 | Dis Loss (Avg): 0.6257 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8559 | Dis Loss (Avg): 0.6217 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 0.8550 | Dis Loss (Avg): 0.6223 | Real Acc: 87.50% | Fake Acc: 68.75% Time elapsed: 1.23 min Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8579 | Dis Loss (Avg): 0.6208 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8547 | Dis Loss (Avg): 0.6205 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8558 | Dis Loss (Avg): 0.6193 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8535 | Dis Loss (Avg): 0.6187 | Real Acc: 87.50% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8543 | Dis Loss (Avg): 0.6175 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8574 | Dis Loss (Avg): 0.6155 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8524 | Dis Loss (Avg): 0.6162 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8486 | Dis Loss (Avg): 0.6186 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8508 | Dis Loss (Avg): 0.6191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6227 | Real Acc: 43.75% | Fake Acc: 87.50% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8476 | Dis Loss (Avg): 0.6212 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8493 | Dis Loss (Avg): 0.6211 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8485 | Dis Loss (Avg): 0.6186 | Real Acc: 81.25% | Fake Acc: 50.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8529 | Dis Loss (Avg): 0.6171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8507 | Dis Loss (Avg): 0.6159 | Real Acc: 68.75% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 0.8521 | Dis Loss (Avg): 0.6156 | Real Acc: 100.00% | Fake Acc: 93.75% Time elapsed: 1.29 min Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8502 | Dis Loss (Avg): 0.6145 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8501 | Dis Loss (Avg): 0.6135 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8487 | Dis Loss (Avg): 0.6136 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8533 | Dis Loss (Avg): 0.6126 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8537 | Dis Loss (Avg): 0.6111 | Real Acc: 68.75% | Fake Acc: 43.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8538 | Dis Loss (Avg): 0.6103 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8506 | Dis Loss (Avg): 0.6084 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8513 | Dis Loss (Avg): 0.6083 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8626 | Dis Loss (Avg): 0.6055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8707 | Dis Loss (Avg): 0.6150 | Real Acc: 37.50% | Fake Acc: 50.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8679 | Dis Loss (Avg): 0.6155 | Real Acc: 75.00% | Fake Acc: 6.25% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8689 | Dis Loss (Avg): 0.6159 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8661 | Dis Loss (Avg): 0.6196 | Real Acc: 37.50% | Fake Acc: 37.50% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8669 | Dis Loss (Avg): 0.6188 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8663 | Dis Loss (Avg): 0.6183 | Real Acc: 93.75% | Fake Acc: 62.50%
[I 2025-01-13 12:33:34,607] Trial 2 finished with value: 0.6162875334934653 and parameters: {'latent_dim': 134, 'lr_gen': 0.0023811723703831395, 'lr_discr': 0.00035026627100548407, 'batch_size': 38, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 0.8695 | Dis Loss (Avg): 0.6163 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 1.36 min Total Training Time: 1.36 min Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.0014 | Dis Loss (Avg): 0.0070 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.3306 | Dis Loss (Avg): 0.0177 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 0.7466 | Dis Loss (Avg): 0.0335 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.2043 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 1.6696 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.1250 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.5606 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 2.8935 | Dis Loss (Avg): 0.0720 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.1721 | Dis Loss (Avg): 0.0713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.4124 | Dis Loss (Avg): 0.0706 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.6201 | Dis Loss (Avg): 0.0699 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.7970 | Dis Loss (Avg): 0.0692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 3.9454 | Dis Loss (Avg): 0.0685 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.0551 | Dis Loss (Avg): 0.0684 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1333 | Dis Loss (Avg): 0.0677 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/20 | Batch: 0/1 | Gen Loss (Avg): 4.1729 | Dis Loss (Avg): 0.0671 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.2448 | Dis Loss (Avg): 0.1103 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3133 | Dis Loss (Avg): 0.1092 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.3659 | Dis Loss (Avg): 0.1081 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.5031 | Dis Loss (Avg): 0.1071 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.6690 | Dis Loss (Avg): 0.1060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.8367 | Dis Loss (Avg): 0.1050 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 4.9924 | Dis Loss (Avg): 0.1039 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.1200 | Dis Loss (Avg): 0.1029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.1018 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.4541 | Dis Loss (Avg): 0.1009 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 5.7639 | Dis Loss (Avg): 0.0999 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.0972 | Dis Loss (Avg): 0.0989 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.4324 | Dis Loss (Avg): 0.0979 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 6.7442 | Dis Loss (Avg): 0.0969 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.0283 | Dis Loss (Avg): 0.0959 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/20 | Batch: 0/1 | Gen Loss (Avg): 7.2442 | Dis Loss (Avg): 0.0950 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.4431 | Dis Loss (Avg): 0.0940 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 7.5645 | Dis Loss (Avg): 0.0931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 8.6464 | Dis Loss (Avg): 0.0924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 9.6844 | Dis Loss (Avg): 0.1990 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 10.6896 | Dis Loss (Avg): 0.1970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 11.6256 | Dis Loss (Avg): 0.1951 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 12.4801 | Dis Loss (Avg): 0.1931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.2486 | Dis Loss (Avg): 0.1912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 13.9221 | Dis Loss (Avg): 0.1893 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.4934 | Dis Loss (Avg): 0.1874 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 14.9615 | Dis Loss (Avg): 0.1855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.3517 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.5930 | Dis Loss (Avg): 0.1818 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7569 | Dis Loss (Avg): 0.1800 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 15.7787 | Dis Loss (Avg): 0.1782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/20 | Batch: 0/1 | Gen Loss (Avg): 16.9763 | Dis Loss (Avg): 0.1976 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 18.5647 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 19.9466 | Dis Loss (Avg): 0.4220 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 20.8421 | Dis Loss (Avg): 0.4690 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.4673 | Dis Loss (Avg): 0.4643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7900 | Dis Loss (Avg): 0.4810 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9250 | Dis Loss (Avg): 0.4761 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9723 | Dis Loss (Avg): 0.4714 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.8976 | Dis Loss (Avg): 0.4667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.7094 | Dis Loss (Avg): 0.5021 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 21.9076 | Dis Loss (Avg): 0.5238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.1922 | Dis Loss (Avg): 0.5186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.4855 | Dis Loss (Avg): 0.5134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6985 | Dis Loss (Avg): 0.5082 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.6218 | Dis Loss (Avg): 0.7263 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 22.9382 | Dis Loss (Avg): 0.7278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/20 | Batch: 0/1 | Gen Loss (Avg): 23.3268 | Dis Loss (Avg): 0.7205 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4817 | Dis Loss (Avg): 0.7866 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4898 | Dis Loss (Avg): 0.7787 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3829 | Dis Loss (Avg): 0.7709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5990 | Dis Loss (Avg): 0.7725 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8635 | Dis Loss (Avg): 0.7648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.8908 | Dis Loss (Avg): 0.7806 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7489 | Dis Loss (Avg): 0.7728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7629 | Dis Loss (Avg): 0.7679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7763 | Dis Loss (Avg): 0.7602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.7292 | Dis Loss (Avg): 0.7526 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5911 | Dis Loss (Avg): 0.7451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6031 | Dis Loss (Avg): 0.8086 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.6187 | Dis Loss (Avg): 1.2667 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.5796 | Dis Loss (Avg): 1.2957 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.4954 | Dis Loss (Avg): 1.2827 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/20 | Batch: 0/1 | Gen Loss (Avg): 23.3830 | Dis Loss (Avg): 1.9506 | Real Acc: 68.75% | Fake Acc: 100.00% Time elapsed: 0.35 min Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.2443 | Dis Loss (Avg): 1.9453 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.1598 | Dis Loss (Avg): 1.9260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9576 | Dis Loss (Avg): 1.9588 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9492 | Dis Loss (Avg): 2.0656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0011 | Dis Loss (Avg): 2.0450 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 23.0445 | Dis Loss (Avg): 2.0439 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.9753 | Dis Loss (Avg): 2.0696 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.8524 | Dis Loss (Avg): 2.0489 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6868 | Dis Loss (Avg): 2.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6954 | Dis Loss (Avg): 2.0117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7766 | Dis Loss (Avg): 1.9916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.7322 | Dis Loss (Avg): 2.0000 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.6004 | Dis Loss (Avg): 1.9900 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.5161 | Dis Loss (Avg): 1.9705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.4321 | Dis Loss (Avg): 1.9508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/20 | Batch: 0/1 | Gen Loss (Avg): 22.3288 | Dis Loss (Avg): 1.9313 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.42 min Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.2128 | Dis Loss (Avg): 1.9119 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.0857 | Dis Loss (Avg): 1.8930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.9439 | Dis Loss (Avg): 1.8741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.7981 | Dis Loss (Avg): 1.8553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.6717 | Dis Loss (Avg): 1.8371 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.5499 | Dis Loss (Avg): 1.8188 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.4215 | Dis Loss (Avg): 1.8006 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2770 | Dis Loss (Avg): 1.7826 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0897 | Dis Loss (Avg): 1.7737 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.0058 | Dis Loss (Avg): 1.7625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 20.9884 | Dis Loss (Avg): 1.7450 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.1151 | Dis Loss (Avg): 1.7277 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.2717 | Dis Loss (Avg): 1.7104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 21.8420 | Dis Loss (Avg): 1.6945 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.3301 | Dis Loss (Avg): 1.7455 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/20 | Batch: 0/1 | Gen Loss (Avg): 22.4923 | Dis Loss (Avg): 1.9243 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.49 min Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2852 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2189 | Dis Loss (Avg): 2.1012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2899 | Dis Loss (Avg): 2.0823 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.3363 | Dis Loss (Avg): 3.1036 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.2922 | Dis Loss (Avg): 3.1561 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1235 | Dis Loss (Avg): 3.2971 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1082 | Dis Loss (Avg): 3.2821 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.1163 | Dis Loss (Avg): 3.2493 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 22.0204 | Dis Loss (Avg): 3.2751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.8382 | Dis Loss (Avg): 3.2423 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.6534 | Dis Loss (Avg): 3.2603 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.4524 | Dis Loss (Avg): 3.3508 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.3499 | Dis Loss (Avg): 3.3949 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.2283 | Dis Loss (Avg): 3.3756 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.1516 | Dis Loss (Avg): 3.3428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/20 | Batch: 0/1 | Gen Loss (Avg): 21.0739 | Dis Loss (Avg): 3.3094 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.56 min Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.9685 | Dis Loss (Avg): 3.2763 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8899 | Dis Loss (Avg): 3.2442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.8148 | Dis Loss (Avg): 3.2117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.6731 | Dis Loss (Avg): 3.2210 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4664 | Dis Loss (Avg): 3.4173 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4341 | Dis Loss (Avg): 3.4961 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.5136 | Dis Loss (Avg): 3.4611 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.4728 | Dis Loss (Avg): 3.5720 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3512 | Dis Loss (Avg): 3.5362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2290 | Dis Loss (Avg): 3.5112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3061 | Dis Loss (Avg): 3.4790 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3492 | Dis Loss (Avg): 3.7447 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2519 | Dis Loss (Avg): 4.1634 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2710 | Dis Loss (Avg): 4.1228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.3200 | Dis Loss (Avg): 4.0816 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/20 | Batch: 0/1 | Gen Loss (Avg): 20.2521 | Dis Loss (Avg): 4.0889 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.62 min Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.1075 | Dis Loss (Avg): 4.0481 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 20.0236 | Dis Loss (Avg): 4.0202 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.9553 | Dis Loss (Avg): 3.9801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.7852 | Dis Loss (Avg): 3.9528 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.6428 | Dis Loss (Avg): 3.9297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4805 | Dis Loss (Avg): 3.9180 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3724 | Dis Loss (Avg): 3.9557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3439 | Dis Loss (Avg): 3.9778 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4398 | Dis Loss (Avg): 3.9421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.5009 | Dis Loss (Avg): 3.9027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.4011 | Dis Loss (Avg): 4.6708 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2482 | Dis Loss (Avg): 4.6837 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2265 | Dis Loss (Avg): 4.6798 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.2175 | Dis Loss (Avg): 4.7375 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.1524 | Dis Loss (Avg): 4.6997 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/20 | Batch: 0/1 | Gen Loss (Avg): 19.3031 | Dis Loss (Avg): 4.6545 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.69 min Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.2942 | Dis Loss (Avg): 5.3117 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 19.1565 | Dis Loss (Avg): 5.2586 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.9649 | Dis Loss (Avg): 5.5791 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.7753 | Dis Loss (Avg): 5.7157 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5875 | Dis Loss (Avg): 5.8496 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.5108 | Dis Loss (Avg): 5.8613 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.4193 | Dis Loss (Avg): 5.8203 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.3094 | Dis Loss (Avg): 5.7622 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.1351 | Dis Loss (Avg): 5.7505 | Real Acc: 93.75% | Fake Acc: 50.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 18.0256 | Dis Loss (Avg): 5.7197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8736 | Dis Loss (Avg): 5.6785 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8129 | Dis Loss (Avg): 5.6334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8169 | Dis Loss (Avg): 5.5771 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.8211 | Dis Loss (Avg): 5.5214 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.6598 | Dis Loss (Avg): 5.5966 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 11/20 | Batch: 0/1 | Gen Loss (Avg): 17.5190 | Dis Loss (Avg): 5.6201 | Real Acc: 93.75% | Fake Acc: 75.00% Time elapsed: 0.76 min Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5958 | Dis Loss (Avg): 5.5807 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5387 | Dis Loss (Avg): 6.4501 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.5774 | Dis Loss (Avg): 6.3864 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.4357 | Dis Loss (Avg): 6.9427 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.2614 | Dis Loss (Avg): 7.2510 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 17.0888 | Dis Loss (Avg): 7.3081 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9863 | Dis Loss (Avg): 7.2848 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.9193 | Dis Loss (Avg): 7.2120 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.8226 | Dis Loss (Avg): 7.8304 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.6883 | Dis Loss (Avg): 7.7576 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.5947 | Dis Loss (Avg): 7.6878 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.4522 | Dis Loss (Avg): 7.7739 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.3293 | Dis Loss (Avg): 7.7128 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.2502 | Dis Loss (Avg): 7.6406 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.1532 | Dis Loss (Avg): 7.7347 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/20 | Batch: 0/1 | Gen Loss (Avg): 16.0039 | Dis Loss (Avg): 7.6837 | Real Acc: 93.75% | Fake Acc: 75.00% Time elapsed: 0.83 min Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.8621 | Dis Loss (Avg): 7.6334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.7726 | Dis Loss (Avg): 7.5850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.6672 | Dis Loss (Avg): 8.2867 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.5120 | Dis Loss (Avg): 8.3001 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3673 | Dis Loss (Avg): 8.2820 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3322 | Dis Loss (Avg): 8.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.3144 | Dis Loss (Avg): 8.1460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.1839 | Dis Loss (Avg): 8.6831 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 15.0321 | Dis Loss (Avg): 9.2966 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.8819 | Dis Loss (Avg): 9.2909 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.7335 | Dis Loss (Avg): 9.2690 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.6424 | Dis Loss (Avg): 9.1930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5829 | Dis Loss (Avg): 9.1011 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.5167 | Dis Loss (Avg): 9.0101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.4445 | Dis Loss (Avg): 8.9203 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/20 | Batch: 0/1 | Gen Loss (Avg): 14.3058 | Dis Loss (Avg): 8.9651 | Real Acc: 93.75% | Fake Acc: 37.50% Time elapsed: 0.90 min Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.1661 | Dis Loss (Avg): 8.9327 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 14.0597 | Dis Loss (Avg): 8.8889 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.9619 | Dis Loss (Avg): 8.9293 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8271 | Dis Loss (Avg): 8.9030 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7466 | Dis Loss (Avg): 8.8516 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8124 | Dis Loss (Avg): 8.7635 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.8258 | Dis Loss (Avg): 11.0941 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.7047 | Dis Loss (Avg): 11.5114 | Real Acc: 68.75% | Fake Acc: 87.50% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.5677 | Dis Loss (Avg): 11.4327 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.4321 | Dis Loss (Avg): 11.3647 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3288 | Dis Loss (Avg): 11.2828 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.3121 | Dis Loss (Avg): 11.1712 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.2682 | Dis Loss (Avg): 12.1527 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.1677 | Dis Loss (Avg): 12.4814 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0862 | Dis Loss (Avg): 12.3580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/20 | Batch: 0/1 | Gen Loss (Avg): 13.0119 | Dis Loss (Avg): 12.2345 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.96 min Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.9408 | Dis Loss (Avg): 12.1122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.8501 | Dis Loss (Avg): 12.1298 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.7589 | Dis Loss (Avg): 12.0091 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.6363 | Dis Loss (Avg): 11.9713 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.5274 | Dis Loss (Avg): 11.9081 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.4037 | Dis Loss (Avg): 11.8209 | Real Acc: 87.50% | Fake Acc: 6.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.2818 | Dis Loss (Avg): 11.7531 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1988 | Dis Loss (Avg): 11.6507 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 12.1145 | Dis Loss (Avg): 11.7499 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9976 | Dis Loss (Avg): 12.0609 | Real Acc: 50.00% | Fake Acc: 0.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.9012 | Dis Loss (Avg): 11.9578 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7969 | Dis Loss (Avg): 11.8606 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.7256 | Dis Loss (Avg): 11.7456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.6392 | Dis Loss (Avg): 11.9970 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.5274 | Dis Loss (Avg): 12.0080 | Real Acc: 62.50% | Fake Acc: 6.25% Epoch: 15/20 | Batch: 0/1 | Gen Loss (Avg): 11.4386 | Dis Loss (Avg): 11.8980 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.03 min Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3830 | Dis Loss (Avg): 11.7801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.3119 | Dis Loss (Avg): 11.6721 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.2001 | Dis Loss (Avg): 11.5570 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 11.0881 | Dis Loss (Avg): 11.4987 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.9884 | Dis Loss (Avg): 11.4352 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8935 | Dis Loss (Avg): 11.4149 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.8349 | Dis Loss (Avg): 11.3096 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.7580 | Dis Loss (Avg): 11.4831 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.6505 | Dis Loss (Avg): 11.3879 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.5462 | Dis Loss (Avg): 11.3068 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4803 | Dis Loss (Avg): 11.2142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4655 | Dis Loss (Avg): 11.1029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.4139 | Dis Loss (Avg): 11.3493 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.3218 | Dis Loss (Avg): 11.3124 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.2538 | Dis Loss (Avg): 11.2056 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/20 | Batch: 0/1 | Gen Loss (Avg): 10.1558 | Dis Loss (Avg): 11.1111 | Real Acc: 93.75% | Fake Acc: 18.75% Time elapsed: 1.10 min Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0677 | Dis Loss (Avg): 11.0235 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 10.0009 | Dis Loss (Avg): 10.9255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.9165 | Dis Loss (Avg): 10.9042 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.8275 | Dis Loss (Avg): 10.8388 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.7329 | Dis Loss (Avg): 10.7668 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.6662 | Dis Loss (Avg): 10.6961 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5699 | Dis Loss (Avg): 10.5909 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.5162 | Dis Loss (Avg): 10.5123 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.4395 | Dis Loss (Avg): 10.4112 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.3458 | Dis Loss (Avg): 10.3439 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2726 | Dis Loss (Avg): 10.2633 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2570 | Dis Loss (Avg): 10.1663 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.2397 | Dis Loss (Avg): 10.1538 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.1673 | Dis Loss (Avg): 10.5077 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0761 | Dis Loss (Avg): 10.4231 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 17/20 | Batch: 0/1 | Gen Loss (Avg): 9.0042 | Dis Loss (Avg): 10.3401 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.16 min Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9828 | Dis Loss (Avg): 10.2393 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.9350 | Dis Loss (Avg): 10.2263 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.8487 | Dis Loss (Avg): 10.1825 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7759 | Dis Loss (Avg): 10.1186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.7373 | Dis Loss (Avg): 10.0254 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6833 | Dis Loss (Avg): 10.1420 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.6202 | Dis Loss (Avg): 10.0418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5946 | Dis Loss (Avg): 9.9446 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5304 | Dis Loss (Avg): 9.8890 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.5019 | Dis Loss (Avg): 9.7934 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.4345 | Dis Loss (Avg): 9.9743 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.3509 | Dis Loss (Avg): 9.9111 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2821 | Dis Loss (Avg): 9.8289 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.2540 | Dis Loss (Avg): 9.7333 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1986 | Dis Loss (Avg): 9.8375 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 18/20 | Batch: 0/1 | Gen Loss (Avg): 8.1171 | Dis Loss (Avg): 9.7516 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 1.23 min Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 8.0359 | Dis Loss (Avg): 9.6835 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9596 | Dis Loss (Avg): 9.6193 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.9171 | Dis Loss (Avg): 9.5323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.8571 | Dis Loss (Avg): 9.5639 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7845 | Dis Loss (Avg): 9.5242 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.7233 | Dis Loss (Avg): 9.4348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6561 | Dis Loss (Avg): 9.3522 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.6045 | Dis Loss (Avg): 9.2625 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.5421 | Dis Loss (Avg): 9.1844 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4958 | Dis Loss (Avg): 9.0990 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4394 | Dis Loss (Avg): 9.0087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.4127 | Dis Loss (Avg): 8.9216 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3524 | Dis Loss (Avg): 9.0443 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.3041 | Dis Loss (Avg): 8.9588 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.2385 | Dis Loss (Avg): 8.9004 | Real Acc: 81.25% | Fake Acc: 68.75% Epoch: 19/20 | Batch: 0/1 | Gen Loss (Avg): 7.1837 | Dis Loss (Avg): 8.8178 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.30 min Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1613 | Dis Loss (Avg): 8.7328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1280 | Dis Loss (Avg): 8.7463 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.1028 | Dis Loss (Avg): 8.6596 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 7.0455 | Dis Loss (Avg): 8.6842 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9751 | Dis Loss (Avg): 8.6357 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.9064 | Dis Loss (Avg): 8.5805 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8600 | Dis Loss (Avg): 8.5132 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.8061 | Dis Loss (Avg): 8.4310 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7810 | Dis Loss (Avg): 8.3486 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7802 | Dis Loss (Avg): 8.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7559 | Dis Loss (Avg): 8.7581 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.7000 | Dis Loss (Avg): 8.8312 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6608 | Dis Loss (Avg): 8.7482 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.6388 | Dis Loss (Avg): 8.6614 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:34:57,088] Trial 3 finished with value: 8.64641719928837 and parameters: {'latent_dim': 175, 'lr_gen': 6.0500688804195905e-05, 'lr_discr': 0.0047275412738452946, 'batch_size': 53, 'num_epochs': 20}. Best is trial 0 with value: 0.5359116051540715.
Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5940 | Dis Loss (Avg): 8.7160 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 20/20 | Batch: 0/1 | Gen Loss (Avg): 6.5331 | Dis Loss (Avg): 8.6464 | Real Acc: 93.75% | Fake Acc: 6.25% Time elapsed: 1.36 min Total Training Time: 1.36 min Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0077 | Dis Loss (Avg): 0.0069 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0137 | Dis Loss (Avg): 0.0195 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0196 | Dis Loss (Avg): 0.0299 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0285 | Dis Loss (Avg): 0.0402 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0500 | Dis Loss (Avg): 0.0457 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0602 | Dis Loss (Avg): 0.0735 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0608 | Dis Loss (Avg): 0.1085 | Real Acc: 6.25% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0622 | Dis Loss (Avg): 0.1279 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.0758 | Dis Loss (Avg): 0.1403 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1077 | Dis Loss (Avg): 0.1420 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1278 | Dis Loss (Avg): 0.1428 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1346 | Dis Loss (Avg): 0.1455 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1393 | Dis Loss (Avg): 0.1487 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1452 | Dis Loss (Avg): 0.1515 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1527 | Dis Loss (Avg): 0.1534 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/6 | Batch: 0/1 | Gen Loss (Avg): 0.1618 | Dis Loss (Avg): 0.1546 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1728 | Dis Loss (Avg): 0.1553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1851 | Dis Loss (Avg): 0.1556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.1975 | Dis Loss (Avg): 0.1559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2073 | Dis Loss (Avg): 0.1567 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2126 | Dis Loss (Avg): 0.1592 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2161 | Dis Loss (Avg): 0.1630 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2201 | Dis Loss (Avg): 0.1684 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2263 | Dis Loss (Avg): 0.1726 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2323 | Dis Loss (Avg): 0.1752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2410 | Dis Loss (Avg): 0.1768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2521 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2592 | Dis Loss (Avg): 0.1790 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2627 | Dis Loss (Avg): 0.1824 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2651 | Dis Loss (Avg): 0.1880 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2725 | Dis Loss (Avg): 0.1916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/6 | Batch: 0/1 | Gen Loss (Avg): 0.2783 | Dis Loss (Avg): 0.2106 | Real Acc: 43.75% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2845 | Dis Loss (Avg): 0.2126 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2872 | Dis Loss (Avg): 0.2150 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2920 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.2996 | Dis Loss (Avg): 0.2191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3028 | Dis Loss (Avg): 0.2210 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3065 | Dis Loss (Avg): 0.2240 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3139 | Dis Loss (Avg): 0.2260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3169 | Dis Loss (Avg): 0.2319 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3208 | Dis Loss (Avg): 0.2343 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3260 | Dis Loss (Avg): 0.2361 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3308 | Dis Loss (Avg): 0.2372 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3371 | Dis Loss (Avg): 0.2385 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3376 | Dis Loss (Avg): 0.2404 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3391 | Dis Loss (Avg): 0.2453 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3458 | Dis Loss (Avg): 0.2478 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/6 | Batch: 0/1 | Gen Loss (Avg): 0.3494 | Dis Loss (Avg): 0.2555 | Real Acc: 50.00% | Fake Acc: 68.75% Time elapsed: 0.20 min Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3528 | Dis Loss (Avg): 0.2569 | Real Acc: 100.00% | Fake Acc: 31.25% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3576 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.2594 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3642 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3692 | Dis Loss (Avg): 0.2628 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3712 | Dis Loss (Avg): 0.2650 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3769 | Dis Loss (Avg): 0.2671 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3785 | Dis Loss (Avg): 0.2685 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3821 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3849 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3886 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.3927 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4007 | Dis Loss (Avg): 0.2754 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4015 | Dis Loss (Avg): 0.2772 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4039 | Dis Loss (Avg): 0.2803 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/6 | Batch: 0/1 | Gen Loss (Avg): 0.4126 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4169 | Dis Loss (Avg): 0.2950 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4172 | Dis Loss (Avg): 0.2999 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4204 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4268 | Dis Loss (Avg): 0.3031 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4282 | Dis Loss (Avg): 0.3061 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4305 | Dis Loss (Avg): 0.3074 | Real Acc: 100.00% | Fake Acc: 25.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4341 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4340 | Dis Loss (Avg): 0.3099 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4349 | Dis Loss (Avg): 0.3126 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4393 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4410 | Dis Loss (Avg): 0.3164 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4436 | Dis Loss (Avg): 0.3175 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4469 | Dis Loss (Avg): 0.3188 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4486 | Dis Loss (Avg): 0.3211 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/6 | Batch: 0/1 | Gen Loss (Avg): 0.4535 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.33 min Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4547 | Dis Loss (Avg): 0.3241 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4577 | Dis Loss (Avg): 0.3253 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4596 | Dis Loss (Avg): 0.3257 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4629 | Dis Loss (Avg): 0.3265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.3264 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4694 | Dis Loss (Avg): 0.3269 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4714 | Dis Loss (Avg): 0.3290 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4755 | Dis Loss (Avg): 0.3299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4767 | Dis Loss (Avg): 0.3302 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4816 | Dis Loss (Avg): 0.3313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4825 | Dis Loss (Avg): 0.3314 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4874 | Dis Loss (Avg): 0.3334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4886 | Dis Loss (Avg): 0.3362 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4927 | Dis Loss (Avg): 0.3373 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:35:21,755] Trial 4 finished with value: 0.33912804189778406 and parameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4933 | Dis Loss (Avg): 0.3377 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/6 | Batch: 0/1 | Gen Loss (Avg): 0.4963 | Dis Loss (Avg): 0.3391 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.40 min Total Training Time: 0.40 min Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0090 | Dis Loss (Avg): 0.0070 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0198 | Dis Loss (Avg): 0.0173 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0334 | Dis Loss (Avg): 0.0255 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0517 | Dis Loss (Avg): 0.0272 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0739 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0880 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0992 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1149 | Dis Loss (Avg): 0.0454 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1222 | Dis Loss (Avg): 0.0534 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1342 | Dis Loss (Avg): 0.0608 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1515 | Dis Loss (Avg): 0.0645 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1730 | Dis Loss (Avg): 0.0664 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1946 | Dis Loss (Avg): 0.0680 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2136 | Dis Loss (Avg): 0.0703 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2165 | Dis Loss (Avg): 0.0916 | Real Acc: 50.00% | Fake Acc: 0.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2202 | Dis Loss (Avg): 0.0995 | Real Acc: 100.00% | Fake Acc: 0.00% Time elapsed: 0.07 min Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2312 | Dis Loss (Avg): 0.1038 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2423 | Dis Loss (Avg): 0.1091 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2577 | Dis Loss (Avg): 0.1099 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2776 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.2992 | Dis Loss (Avg): 0.1100 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3178 | Dis Loss (Avg): 0.1104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3185 | Dis Loss (Avg): 0.1170 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3207 | Dis Loss (Avg): 0.1235 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3298 | Dis Loss (Avg): 0.1269 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3428 | Dis Loss (Avg): 0.1281 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3465 | Dis Loss (Avg): 0.1333 | Real Acc: 56.25% | Fake Acc: 62.50% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3493 | Dis Loss (Avg): 0.1371 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3579 | Dis Loss (Avg): 0.1397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3612 | Dis Loss (Avg): 0.1447 | Real Acc: 87.50% | Fake Acc: 37.50% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3652 | Dis Loss (Avg): 0.1482 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 0.3742 | Dis Loss (Avg): 0.1506 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3795 | Dis Loss (Avg): 0.1734 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3855 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3868 | Dis Loss (Avg): 0.1771 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3890 | Dis Loss (Avg): 0.1809 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3941 | Dis Loss (Avg): 0.1836 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3970 | Dis Loss (Avg): 0.1871 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3975 | Dis Loss (Avg): 0.1900 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.3998 | Dis Loss (Avg): 0.1935 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4057 | Dis Loss (Avg): 0.1958 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4079 | Dis Loss (Avg): 0.2010 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4110 | Dis Loss (Avg): 0.2035 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4176 | Dis Loss (Avg): 0.2052 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.2171 | Real Acc: 68.75% | Fake Acc: 12.50% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4252 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4287 | Dis Loss (Avg): 0.2204 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 0.4355 | Dis Loss (Avg): 0.2221 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4357 | Dis Loss (Avg): 0.2249 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4380 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 12.50% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4451 | Dis Loss (Avg): 0.2294 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4473 | Dis Loss (Avg): 0.2378 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4501 | Dis Loss (Avg): 0.2398 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4560 | Dis Loss (Avg): 0.2415 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4564 | Dis Loss (Avg): 0.2517 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4580 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4623 | Dis Loss (Avg): 0.2562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4637 | Dis Loss (Avg): 0.2733 | Real Acc: 37.50% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4669 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4701 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4744 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4737 | Dis Loss (Avg): 0.2790 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4749 | Dis Loss (Avg): 0.2819 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 0.4798 | Dis Loss (Avg): 0.2832 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4811 | Dis Loss (Avg): 0.2879 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4830 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4872 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4889 | Dis Loss (Avg): 0.2949 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4912 | Dis Loss (Avg): 0.2959 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4947 | Dis Loss (Avg): 0.2966 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4949 | Dis Loss (Avg): 0.3008 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4961 | Dis Loss (Avg): 0.3024 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4995 | Dis Loss (Avg): 0.3033 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.4997 | Dis Loss (Avg): 0.3048 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5010 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5052 | Dis Loss (Avg): 0.3072 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5054 | Dis Loss (Avg): 0.3101 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5069 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5102 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 0.5108 | Dis Loss (Avg): 0.3166 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.34 min Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5127 | Dis Loss (Avg): 0.3178 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5163 | Dis Loss (Avg): 0.3184 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5160 | Dis Loss (Avg): 0.3201 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5168 | Dis Loss (Avg): 0.3219 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5206 | Dis Loss (Avg): 0.3229 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5281 | Dis Loss (Avg): 0.3224 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3446 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5303 | Dis Loss (Avg): 0.3447 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5335 | Dis Loss (Avg): 0.3458 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5328 | Dis Loss (Avg): 0.3466 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5334 | Dis Loss (Avg): 0.3483 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5367 | Dis Loss (Avg): 0.3489 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5359 | Dis Loss (Avg): 0.3504 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5363 | Dis Loss (Avg): 0.3522 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5393 | Dis Loss (Avg): 0.3529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 0.5395 | Dis Loss (Avg): 0.3553 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5404 | Dis Loss (Avg): 0.3562 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5433 | Dis Loss (Avg): 0.3566 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5493 | Dis Loss (Avg): 0.3559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5507 | Dis Loss (Avg): 0.3653 | Real Acc: 75.00% | Fake Acc: 25.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5520 | Dis Loss (Avg): 0.3655 | Real Acc: 100.00% | Fake Acc: 18.75% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5551 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5548 | Dis Loss (Avg): 0.3669 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5555 | Dis Loss (Avg): 0.3678 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5590 | Dis Loss (Avg): 0.3681 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5584 | Dis Loss (Avg): 0.3682 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5591 | Dis Loss (Avg): 0.3695 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5638 | Dis Loss (Avg): 0.3701 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5645 | Dis Loss (Avg): 0.3746 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5662 | Dis Loss (Avg): 0.3747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5704 | Dis Loss (Avg): 0.3744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 0.5694 | Dis Loss (Avg): 0.3783 | Real Acc: 75.00% | Fake Acc: 0.00% Time elapsed: 0.47 min Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5699 | Dis Loss (Avg): 0.3796 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5741 | Dis Loss (Avg): 0.3799 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5807 | Dis Loss (Avg): 0.3789 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5797 | Dis Loss (Avg): 0.3880 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5820 | Dis Loss (Avg): 0.3894 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5892 | Dis Loss (Avg): 0.3886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5901 | Dis Loss (Avg): 0.4012 | Real Acc: 56.25% | Fake Acc: 18.75% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5928 | Dis Loss (Avg): 0.4011 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5984 | Dis Loss (Avg): 0.4003 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5976 | Dis Loss (Avg): 0.4047 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.5997 | Dis Loss (Avg): 0.4066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6034 | Dis Loss (Avg): 0.4060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6030 | Dis Loss (Avg): 0.4088 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6040 | Dis Loss (Avg): 0.4090 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6078 | Dis Loss (Avg): 0.4084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 0.6075 | Dis Loss (Avg): 0.4102 | Real Acc: 68.75% | Fake Acc: 0.00% Time elapsed: 0.54 min Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6082 | Dis Loss (Avg): 0.4105 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6117 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6136 | Dis Loss (Avg): 0.4090 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6124 | Dis Loss (Avg): 0.4093 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6122 | Dis Loss (Avg): 0.4101 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6153 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6147 | Dis Loss (Avg): 0.4106 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6152 | Dis Loss (Avg): 0.4110 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6182 | Dis Loss (Avg): 0.4106 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6181 | Dis Loss (Avg): 0.4120 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6189 | Dis Loss (Avg): 0.4119 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6212 | Dis Loss (Avg): 0.4114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6217 | Dis Loss (Avg): 0.4106 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6239 | Dis Loss (Avg): 0.4104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6250 | Dis Loss (Avg): 0.4097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 0.6306 | Dis Loss (Avg): 0.4091 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.60 min Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6294 | Dis Loss (Avg): 0.4082 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6330 | Dis Loss (Avg): 0.4102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6326 | Dis Loss (Avg): 0.4137 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6366 | Dis Loss (Avg): 0.4142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6361 | Dis Loss (Avg): 0.4137 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6397 | Dis Loss (Avg): 0.4154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6483 | Dis Loss (Avg): 0.4139 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6481 | Dis Loss (Avg): 0.4143 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6433 | Dis Loss (Avg): 0.4167 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6410 | Dis Loss (Avg): 0.4228 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6469 | Dis Loss (Avg): 0.4244 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6506 | Dis Loss (Avg): 0.4229 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6532 | Dis Loss (Avg): 0.4248 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6503 | Dis Loss (Avg): 0.4247 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6518 | Dis Loss (Avg): 0.4272 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:36:02,681] Trial 5 finished with value: 0.426223971153298 and parameters: {'latent_dim': 109, 'lr_gen': 0.00057384907576986, 'lr_discr': 0.0004791507469445179, 'batch_size': 62, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 0.6626 | Dis Loss (Avg): 0.4262 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.67 min Total Training Time: 0.67 min Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0098 | Dis Loss (Avg): 0.0070 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0223 | Dis Loss (Avg): 0.0297 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.0607 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1209 | Dis Loss (Avg): 0.0310 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.1947 | Dis Loss (Avg): 0.0307 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.2761 | Dis Loss (Avg): 0.0304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.3607 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.4465 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.5321 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6154 | Dis Loss (Avg): 0.0292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.6975 | Dis Loss (Avg): 0.0289 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.7781 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.8457 | Dis Loss (Avg): 0.0284 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9099 | Dis Loss (Avg): 0.0686 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 0.9727 | Dis Loss (Avg): 0.0679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/10 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.0672 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.0959 | Dis Loss (Avg): 0.0665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.1566 | Dis Loss (Avg): 0.0659 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2172 | Dis Loss (Avg): 0.0652 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.2768 | Dis Loss (Avg): 0.0646 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3360 | Dis Loss (Avg): 0.0639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.3933 | Dis Loss (Avg): 0.0633 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.4494 | Dis Loss (Avg): 0.0627 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.0621 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.5605 | Dis Loss (Avg): 0.0614 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6155 | Dis Loss (Avg): 0.0608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.6704 | Dis Loss (Avg): 0.0602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7252 | Dis Loss (Avg): 0.0596 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.7793 | Dis Loss (Avg): 0.0590 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8327 | Dis Loss (Avg): 0.0585 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.8856 | Dis Loss (Avg): 0.0579 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/10 | Batch: 0/1 | Gen Loss (Avg): 1.9376 | Dis Loss (Avg): 0.0573 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 1.9887 | Dis Loss (Avg): 0.0567 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0386 | Dis Loss (Avg): 0.0562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.0873 | Dis Loss (Avg): 0.0556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1348 | Dis Loss (Avg): 0.0551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.1821 | Dis Loss (Avg): 0.0545 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.2789 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3280 | Dis Loss (Avg): 0.0529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.3779 | Dis Loss (Avg): 0.0524 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4275 | Dis Loss (Avg): 0.0519 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.4784 | Dis Loss (Avg): 0.0514 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5284 | Dis Loss (Avg): 0.0509 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.5791 | Dis Loss (Avg): 0.0504 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6301 | Dis Loss (Avg): 0.0499 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.6797 | Dis Loss (Avg): 0.0494 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/10 | Batch: 0/1 | Gen Loss (Avg): 2.7304 | Dis Loss (Avg): 0.0489 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.7814 | Dis Loss (Avg): 0.0484 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8323 | Dis Loss (Avg): 0.0479 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.8848 | Dis Loss (Avg): 0.0474 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9400 | Dis Loss (Avg): 0.0470 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 2.9923 | Dis Loss (Avg): 0.0465 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0453 | Dis Loss (Avg): 0.0460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.0968 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.1490 | Dis Loss (Avg): 0.0451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2036 | Dis Loss (Avg): 0.0447 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.2562 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3111 | Dis Loss (Avg): 0.0438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.3648 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4186 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.4725 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5303 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/10 | Batch: 0/1 | Gen Loss (Avg): 3.5814 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.26 min Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6353 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.6928 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.7458 | Dis Loss (Avg): 0.0404 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8022 | Dis Loss (Avg): 0.0400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.8570 | Dis Loss (Avg): 0.0396 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9168 | Dis Loss (Avg): 0.0392 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 3.9730 | Dis Loss (Avg): 0.0388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0275 | Dis Loss (Avg): 0.0385 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.0780 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1380 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.1962 | Dis Loss (Avg): 0.0373 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.2530 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3072 | Dis Loss (Avg): 0.0366 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.3937 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.4946 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/10 | Batch: 0/1 | Gen Loss (Avg): 4.6048 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.33 min Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.7079 | Dis Loss (Avg): 0.0352 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.8146 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 4.9178 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0040 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.0863 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.1692 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2384 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.2991 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.3499 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4004 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4462 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.4926 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.5442 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6020 | Dis Loss (Avg): 0.0309 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.6634 | Dis Loss (Avg): 0.0306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/10 | Batch: 0/1 | Gen Loss (Avg): 5.7229 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.40 min Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.7816 | Dis Loss (Avg): 0.0299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8382 | Dis Loss (Avg): 0.0296 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.8851 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9382 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 5.9948 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.0583 | Dis Loss (Avg): 0.0285 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1278 | Dis Loss (Avg): 0.0282 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.1901 | Dis Loss (Avg): 0.0279 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.2495 | Dis Loss (Avg): 0.0276 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3046 | Dis Loss (Avg): 0.0274 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.3487 | Dis Loss (Avg): 0.0271 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4025 | Dis Loss (Avg): 0.0268 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.4511 | Dis Loss (Avg): 0.0265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5229 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.5987 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/10 | Batch: 0/1 | Gen Loss (Avg): 6.6842 | Dis Loss (Avg): 0.0258 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.46 min Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.7611 | Dis Loss (Avg): 0.0255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8228 | Dis Loss (Avg): 0.0253 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.8855 | Dis Loss (Avg): 0.0250 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9429 | Dis Loss (Avg): 0.0248 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 6.9932 | Dis Loss (Avg): 0.0245 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.0499 | Dis Loss (Avg): 0.0243 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1110 | Dis Loss (Avg): 0.0240 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.1672 | Dis Loss (Avg): 0.0238 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.2382 | Dis Loss (Avg): 0.0235 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3043 | Dis Loss (Avg): 0.0233 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.3680 | Dis Loss (Avg): 0.0231 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4288 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.4812 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5307 | Dis Loss (Avg): 0.0224 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.5756 | Dis Loss (Avg): 0.0222 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/10 | Batch: 0/1 | Gen Loss (Avg): 7.6416 | Dis Loss (Avg): 0.0219 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.53 min Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7174 | Dis Loss (Avg): 0.0217 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.7948 | Dis Loss (Avg): 0.0215 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.8584 | Dis Loss (Avg): 0.0213 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9245 | Dis Loss (Avg): 0.0211 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9819 | Dis Loss (Avg): 0.0209 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9076 | Dis Loss (Avg): 0.0246 | Real Acc: 93.75% | Fake Acc: 18.75% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0414 | Dis Loss (Avg): 0.1763 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9612 | Dis Loss (Avg): 0.5880 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0319 | Dis Loss (Avg): 0.6216 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0185 | Dis Loss (Avg): 0.6537 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9626 | Dis Loss (Avg): 0.6472 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0165 | Dis Loss (Avg): 0.6438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 8.0534 | Dis Loss (Avg): 0.6381 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9728 | Dis Loss (Avg): 0.6517 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9105 | Dis Loss (Avg): 0.7237 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 9/10 | Batch: 0/1 | Gen Loss (Avg): 7.9546 | Dis Loss (Avg): 0.7192 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.60 min Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9893 | Dis Loss (Avg): 0.7304 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0150 | Dis Loss (Avg): 0.7231 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0309 | Dis Loss (Avg): 0.7158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0349 | Dis Loss (Avg): 0.7087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0261 | Dis Loss (Avg): 0.7016 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 8.0065 | Dis Loss (Avg): 0.6946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9888 | Dis Loss (Avg): 0.6877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9781 | Dis Loss (Avg): 0.6809 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9717 | Dis Loss (Avg): 0.6742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9773 | Dis Loss (Avg): 0.6675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9826 | Dis Loss (Avg): 0.6608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9253 | Dis Loss (Avg): 0.6669 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9448 | Dis Loss (Avg): 0.6639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9264 | Dis Loss (Avg): 0.6843 | Real Acc: 87.50% | Fake Acc: 100.00%
[I 2025-01-13 12:36:43,228] Trial 6 finished with value: 0.6733400050371819 and parameters: {'latent_dim': 112, 'lr_gen': 2.052075786914411e-05, 'lr_discr': 0.001553937974261388, 'batch_size': 51, 'num_epochs': 10}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.8760 | Dis Loss (Avg): 0.6775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/10 | Batch: 0/1 | Gen Loss (Avg): 7.9057 | Dis Loss (Avg): 0.6733 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.67 min Total Training Time: 0.67 min Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.0038 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.1493 | Dis Loss (Avg): 0.0135 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.3786 | Dis Loss (Avg): 0.0134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.5905 | Dis Loss (Avg): 0.0265 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.7878 | Dis Loss (Avg): 0.0263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 0.9682 | Dis Loss (Avg): 0.0260 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.1663 | Dis Loss (Avg): 0.2311 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.3687 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.5691 | Dis Loss (Avg): 0.2265 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.7619 | Dis Loss (Avg): 0.2243 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 1.9439 | Dis Loss (Avg): 0.2220 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.1132 | Dis Loss (Avg): 0.2198 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.2697 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.4131 | Dis Loss (Avg): 0.2154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.5427 | Dis Loss (Avg): 0.2133 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/14 | Batch: 0/1 | Gen Loss (Avg): 2.6608 | Dis Loss (Avg): 0.2111 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.7655 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 0.2069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9288 | Dis Loss (Avg): 0.2049 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 2.9877 | Dis Loss (Avg): 0.2263 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0302 | Dis Loss (Avg): 0.2241 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.0951 | Dis Loss (Avg): 0.2219 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.1594 | Dis Loss (Avg): 0.2197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2276 | Dis Loss (Avg): 0.2176 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.2809 | Dis Loss (Avg): 0.2175 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 3.6544 | Dis Loss (Avg): 0.2172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.1715 | Dis Loss (Avg): 0.2150 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 4.7358 | Dis Loss (Avg): 0.2129 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.2108 | Dis Loss (Avg): 0.2350 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 0.2327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 5.8870 | Dis Loss (Avg): 0.2965 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/14 | Batch: 0/1 | Gen Loss (Avg): 6.0849 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.13 min Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.2272 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3287 | Dis Loss (Avg): 0.2877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.3760 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.4245 | Dis Loss (Avg): 0.2820 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.5589 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.7120 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.8653 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 6.9747 | Dis Loss (Avg): 0.2710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.0408 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.3434 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 7.7184 | Dis Loss (Avg): 0.2639 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.1110 | Dis Loss (Avg): 0.2612 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.2944 | Dis Loss (Avg): 0.2633 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.3447 | Dis Loss (Avg): 0.2607 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 8.7737 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/14 | Batch: 0/1 | Gen Loss (Avg): 9.3155 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.6651 | Dis Loss (Avg): 0.4423 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.8775 | Dis Loss (Avg): 0.4379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9728 | Dis Loss (Avg): 0.4335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 9.9716 | Dis Loss (Avg): 0.4292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.3161 | Dis Loss (Avg): 0.4542 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5448 | Dis Loss (Avg): 0.7520 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5154 | Dis Loss (Avg): 0.8096 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5321 | Dis Loss (Avg): 0.8073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5438 | Dis Loss (Avg): 0.7992 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5252 | Dis Loss (Avg): 0.7913 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6019 | Dis Loss (Avg): 0.7920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.6248 | Dis Loss (Avg): 0.8621 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.5187 | Dis Loss (Avg): 0.9038 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4755 | Dis Loss (Avg): 0.9310 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4617 | Dis Loss (Avg): 0.9218 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/14 | Batch: 0/1 | Gen Loss (Avg): 10.4354 | Dis Loss (Avg): 0.9247 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.27 min Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.4024 | Dis Loss (Avg): 0.9155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.3013 | Dis Loss (Avg): 0.9135 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2317 | Dis Loss (Avg): 0.9278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2301 | Dis Loss (Avg): 0.9207 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.2089 | Dis Loss (Avg): 1.1121 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.1277 | Dis Loss (Avg): 1.1432 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0937 | Dis Loss (Avg): 1.1368 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 10.0406 | Dis Loss (Avg): 1.1326 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.9413 | Dis Loss (Avg): 1.1231 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.8789 | Dis Loss (Avg): 1.1291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7990 | Dis Loss (Avg): 1.1438 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.7468 | Dis Loss (Avg): 1.1360 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6863 | Dis Loss (Avg): 1.1270 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6325 | Dis Loss (Avg): 1.1165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.6246 | Dis Loss (Avg): 1.1066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/14 | Batch: 0/1 | Gen Loss (Avg): 9.5724 | Dis Loss (Avg): 1.6672 | Real Acc: 50.00% | Fake Acc: 100.00% Time elapsed: 0.34 min Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.4767 | Dis Loss (Avg): 1.6629 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3828 | Dis Loss (Avg): 1.6827 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.3024 | Dis Loss (Avg): 1.6836 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2857 | Dis Loss (Avg): 1.6698 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.2398 | Dis Loss (Avg): 1.7479 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.1895 | Dis Loss (Avg): 1.7307 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0978 | Dis Loss (Avg): 1.8057 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 9.0094 | Dis Loss (Avg): 1.8130 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9573 | Dis Loss (Avg): 1.8055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.9373 | Dis Loss (Avg): 1.7877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8758 | Dis Loss (Avg): 1.8126 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.8243 | Dis Loss (Avg): 1.7970 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7945 | Dis Loss (Avg): 1.7797 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.7723 | Dis Loss (Avg): 1.7620 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6964 | Dis Loss (Avg): 1.8130 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 6/14 | Batch: 0/1 | Gen Loss (Avg): 8.6103 | Dis Loss (Avg): 1.8162 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.40 min Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5408 | Dis Loss (Avg): 1.8237 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.5122 | Dis Loss (Avg): 1.8112 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.4670 | Dis Loss (Avg): 1.8228 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3916 | Dis Loss (Avg): 1.8254 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.3079 | Dis Loss (Avg): 1.8334 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.2353 | Dis Loss (Avg): 1.8427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1783 | Dis Loss (Avg): 1.8292 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.1008 | Dis Loss (Avg): 1.8265 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 8.0202 | Dis Loss (Avg): 1.8381 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9475 | Dis Loss (Avg): 1.8381 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.9023 | Dis Loss (Avg): 1.8249 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.8386 | Dis Loss (Avg): 1.9012 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.7679 | Dis Loss (Avg): 1.8927 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6939 | Dis Loss (Avg): 1.8868 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.6352 | Dis Loss (Avg): 1.8753 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/14 | Batch: 0/1 | Gen Loss (Avg): 7.5625 | Dis Loss (Avg): 1.8774 | Real Acc: 68.75% | Fake Acc: 6.25% Time elapsed: 0.47 min Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4961 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.4600 | Dis Loss (Avg): 1.8537 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3985 | Dis Loss (Avg): 1.8662 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.3316 | Dis Loss (Avg): 1.8549 | Real Acc: 93.75% | Fake Acc: 56.25% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2800 | Dis Loss (Avg): 1.8435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.2229 | Dis Loss (Avg): 1.8271 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.1560 | Dis Loss (Avg): 1.9066 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0874 | Dis Loss (Avg): 1.9017 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 7.0358 | Dis Loss (Avg): 1.8916 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9745 | Dis Loss (Avg): 1.9770 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.9248 | Dis Loss (Avg): 1.9608 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8637 | Dis Loss (Avg): 1.9917 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.8110 | Dis Loss (Avg): 1.9751 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.7488 | Dis Loss (Avg): 1.9810 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6923 | Dis Loss (Avg): 1.9660 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/14 | Batch: 0/1 | Gen Loss (Avg): 6.6301 | Dis Loss (Avg): 1.9490 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.54 min Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5744 | Dis Loss (Avg): 1.9357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.5143 | Dis Loss (Avg): 1.9223 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4596 | Dis Loss (Avg): 1.9076 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.4001 | Dis Loss (Avg): 1.8910 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3473 | Dis Loss (Avg): 1.8775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.3082 | Dis Loss (Avg): 1.8617 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2609 | Dis Loss (Avg): 1.9742 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.2008 | Dis Loss (Avg): 2.0120 | Real Acc: 62.50% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.1459 | Dis Loss (Avg): 2.0015 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0970 | Dis Loss (Avg): 1.9851 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 6.0457 | Dis Loss (Avg): 1.9780 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9896 | Dis Loss (Avg): 1.9609 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.9416 | Dis Loss (Avg): 1.9475 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8891 | Dis Loss (Avg): 1.9491 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.8394 | Dis Loss (Avg): 1.9331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/14 | Batch: 0/1 | Gen Loss (Avg): 5.7875 | Dis Loss (Avg): 1.9165 | Real Acc: 100.00% | Fake Acc: 0.00% Time elapsed: 0.61 min Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.7390 | Dis Loss (Avg): 1.9012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6946 | Dis Loss (Avg): 1.8847 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6562 | Dis Loss (Avg): 1.8675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.6109 | Dis Loss (Avg): 1.8875 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5612 | Dis Loss (Avg): 1.8715 | Real Acc: 93.75% | Fake Acc: 25.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.5146 | Dis Loss (Avg): 1.8576 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4731 | Dis Loss (Avg): 1.8417 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.4273 | Dis Loss (Avg): 1.8410 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3832 | Dis Loss (Avg): 1.8255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.3337 | Dis Loss (Avg): 1.8097 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2914 | Dis Loss (Avg): 1.7982 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.2428 | Dis Loss (Avg): 1.7831 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1969 | Dis Loss (Avg): 1.7721 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1595 | Dis Loss (Avg): 1.7583 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.1309 | Dis Loss (Avg): 1.7423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/14 | Batch: 0/1 | Gen Loss (Avg): 5.0909 | Dis Loss (Avg): 1.8106 | Real Acc: 62.50% | Fake Acc: 100.00% Time elapsed: 0.69 min Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 5.0400 | Dis Loss (Avg): 1.7954 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9896 | Dis Loss (Avg): 1.8291 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9400 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.9026 | Dis Loss (Avg): 1.8498 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8649 | Dis Loss (Avg): 1.8339 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8470 | Dis Loss (Avg): 1.8181 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.8115 | Dis Loss (Avg): 2.0253 | Real Acc: 37.50% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7647 | Dis Loss (Avg): 2.0156 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.7237 | Dis Loss (Avg): 2.0094 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6918 | Dis Loss (Avg): 1.9935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6575 | Dis Loss (Avg): 2.0472 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.6189 | Dis Loss (Avg): 2.0335 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5842 | Dis Loss (Avg): 2.0164 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5573 | Dis Loss (Avg): 1.9984 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.5260 | Dis Loss (Avg): 2.0015 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 11/14 | Batch: 0/1 | Gen Loss (Avg): 4.4846 | Dis Loss (Avg): 1.9878 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.76 min Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4471 | Dis Loss (Avg): 1.9752 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.4159 | Dis Loss (Avg): 1.9593 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3897 | Dis Loss (Avg): 1.9414 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3528 | Dis Loss (Avg): 1.9468 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.3184 | Dis Loss (Avg): 1.9311 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2872 | Dis Loss (Avg): 1.9146 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2568 | Dis Loss (Avg): 1.8976 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.2220 | Dis Loss (Avg): 1.8975 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1887 | Dis Loss (Avg): 1.8819 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1572 | Dis Loss (Avg): 1.8657 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.1261 | Dis Loss (Avg): 1.8495 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0965 | Dis Loss (Avg): 1.8335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0630 | Dis Loss (Avg): 1.8225 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0310 | Dis Loss (Avg): 1.8080 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 4.0011 | Dis Loss (Avg): 1.7931 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/14 | Batch: 0/1 | Gen Loss (Avg): 3.9738 | Dis Loss (Avg): 1.7774 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.82 min Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9449 | Dis Loss (Avg): 1.7692 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.9140 | Dis Loss (Avg): 1.7555 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8849 | Dis Loss (Avg): 1.7410 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8584 | Dis Loss (Avg): 1.7262 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8291 | Dis Loss (Avg): 1.7165 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.8006 | Dis Loss (Avg): 1.7020 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7741 | Dis Loss (Avg): 1.6875 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7449 | Dis Loss (Avg): 1.6739 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.7178 | Dis Loss (Avg): 1.6606 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6886 | Dis Loss (Avg): 1.6465 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6611 | Dis Loss (Avg): 1.6332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6362 | Dis Loss (Avg): 1.6194 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.6138 | Dis Loss (Avg): 1.6051 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5873 | Dis Loss (Avg): 1.5974 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5619 | Dis Loss (Avg): 1.5842 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/14 | Batch: 0/1 | Gen Loss (Avg): 3.5384 | Dis Loss (Avg): 1.5708 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.5154 | Dis Loss (Avg): 1.5570 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4941 | Dis Loss (Avg): 1.5432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4749 | Dis Loss (Avg): 1.5294 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4509 | Dis Loss (Avg): 1.5335 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4307 | Dis Loss (Avg): 1.5222 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.4126 | Dis Loss (Avg): 1.5085 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3899 | Dis Loss (Avg): 1.5307 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3644 | Dis Loss (Avg): 1.5191 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3410 | Dis Loss (Avg): 1.5070 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3210 | Dis Loss (Avg): 1.4941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.3049 | Dis Loss (Avg): 1.4809 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2807 | Dis Loss (Avg): 1.4750 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2598 | Dis Loss (Avg): 1.4647 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2354 | Dis Loss (Avg): 1.4523 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.2150 | Dis Loss (Avg): 1.4417 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:37:41,285] Trial 7 finished with value: 1.4316544707240413 and parameters: {'latent_dim': 194, 'lr_gen': 7.132068773165721e-05, 'lr_discr': 0.0030742178962451894, 'batch_size': 16, 'num_epochs': 14}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 14/14 | Batch: 0/1 | Gen Loss (Avg): 3.1885 | Dis Loss (Avg): 1.4317 | Real Acc: 87.50% | Fake Acc: 0.00% Time elapsed: 0.96 min Total Training Time: 0.96 min Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0123 | Dis Loss (Avg): 0.0068 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.0541 | Dis Loss (Avg): 0.0229 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1193 | Dis Loss (Avg): 0.0228 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.1909 | Dis Loss (Avg): 0.0226 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.2582 | Dis Loss (Avg): 0.0301 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.3585 | Dis Loss (Avg): 0.0301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.4689 | Dis Loss (Avg): 0.0298 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.5697 | Dis Loss (Avg): 0.0295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.6467 | Dis Loss (Avg): 0.0293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.7483 | Dis Loss (Avg): 0.0291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.8463 | Dis Loss (Avg): 0.0288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9366 | Dis Loss (Avg): 0.0286 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9272 | Dis Loss (Avg): 0.0822 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.1287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.0836 | Dis Loss (Avg): 0.1275 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/12 | Batch: 0/1 | Gen Loss (Avg): 1.1196 | Dis Loss (Avg): 0.1424 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.1737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.2864 | Dis Loss (Avg): 0.1720 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3341 | Dis Loss (Avg): 0.1760 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.3825 | Dis Loss (Avg): 0.1750 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4073 | Dis Loss (Avg): 0.1849 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.4560 | Dis Loss (Avg): 0.2083 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5310 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.5620 | Dis Loss (Avg): 0.2882 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 0.2892 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.6941 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7317 | Dis Loss (Avg): 0.2943 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7704 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.7830 | Dis Loss (Avg): 0.3144 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8383 | Dis Loss (Avg): 0.3263 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8675 | Dis Loss (Avg): 0.3386 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 2/12 | Batch: 0/1 | Gen Loss (Avg): 1.8636 | Dis Loss (Avg): 0.3530 | Real Acc: 87.50% | Fake Acc: 81.25% Time elapsed: 0.14 min Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.8760 | Dis Loss (Avg): 0.3673 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9289 | Dis Loss (Avg): 0.3693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 1.9952 | Dis Loss (Avg): 0.3656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0013 | Dis Loss (Avg): 0.5848 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0168 | Dis Loss (Avg): 0.5891 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0870 | Dis Loss (Avg): 0.5869 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0995 | Dis Loss (Avg): 1.1681 | Real Acc: 12.50% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0786 | Dis Loss (Avg): 1.2051 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0578 | Dis Loss (Avg): 1.2358 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0406 | Dis Loss (Avg): 1.2518 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0545 | Dis Loss (Avg): 1.2490 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0555 | Dis Loss (Avg): 1.3366 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0364 | Dis Loss (Avg): 1.3294 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0209 | Dis Loss (Avg): 1.3313 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0233 | Dis Loss (Avg): 1.3280 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/12 | Batch: 0/1 | Gen Loss (Avg): 2.0158 | Dis Loss (Avg): 1.3187 | Real Acc: 81.25% | Fake Acc: 100.00% Time elapsed: 0.20 min Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0146 | Dis Loss (Avg): 1.3099 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3007 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0362 | Dis Loss (Avg): 1.3105 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0377 | Dis Loss (Avg): 1.3029 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0216 | Dis Loss (Avg): 1.3342 | Real Acc: 43.75% | Fake Acc: 0.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0160 | Dis Loss (Avg): 1.3281 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0055 | Dis Loss (Avg): 1.3392 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 2.0057 | Dis Loss (Avg): 1.3305 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9923 | Dis Loss (Avg): 1.3644 | Real Acc: 56.25% | Fake Acc: 37.50% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9853 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9833 | Dis Loss (Avg): 1.3451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9693 | Dis Loss (Avg): 1.3539 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9577 | Dis Loss (Avg): 1.3470 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9563 | Dis Loss (Avg): 1.3376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9463 | Dis Loss (Avg): 1.3646 | Real Acc: 43.75% | Fake Acc: 100.00% Epoch: 4/12 | Batch: 0/1 | Gen Loss (Avg): 1.9302 | Dis Loss (Avg): 1.3556 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.27 min Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9136 | Dis Loss (Avg): 1.3515 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9017 | Dis Loss (Avg): 1.3458 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.9001 | Dis Loss (Avg): 1.3363 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8886 | Dis Loss (Avg): 1.3633 | Real Acc: 62.50% | Fake Acc: 87.50% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8821 | Dis Loss (Avg): 1.3562 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8696 | Dis Loss (Avg): 1.3639 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8660 | Dis Loss (Avg): 1.3547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8512 | Dis Loss (Avg): 1.3450 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8375 | Dis Loss (Avg): 1.3392 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8285 | Dis Loss (Avg): 1.3316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8159 | Dis Loss (Avg): 1.3244 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.8057 | Dis Loss (Avg): 1.3158 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7929 | Dis Loss (Avg): 1.3065 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7832 | Dis Loss (Avg): 1.2983 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7795 | Dis Loss (Avg): 1.2886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/12 | Batch: 0/1 | Gen Loss (Avg): 1.7692 | Dis Loss (Avg): 1.3044 | Real Acc: 62.50% | Fake Acc: 100.00% Time elapsed: 0.34 min Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7535 | Dis Loss (Avg): 1.2992 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7404 | Dis Loss (Avg): 1.2964 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7338 | Dis Loss (Avg): 1.2890 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7229 | Dis Loss (Avg): 1.2802 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7134 | Dis Loss (Avg): 1.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.7062 | Dis Loss (Avg): 1.2622 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6951 | Dis Loss (Avg): 1.2555 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6856 | Dis Loss (Avg): 1.2469 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6792 | Dis Loss (Avg): 1.2379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6689 | Dis Loss (Avg): 1.2382 | Real Acc: 62.50% | Fake Acc: 12.50% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6601 | Dis Loss (Avg): 1.2300 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6535 | Dis Loss (Avg): 1.2208 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6435 | Dis Loss (Avg): 1.2137 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6344 | Dis Loss (Avg): 1.2055 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6274 | Dis Loss (Avg): 1.1971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/12 | Batch: 0/1 | Gen Loss (Avg): 1.6174 | Dis Loss (Avg): 1.1888 | Real Acc: 87.50% | Fake Acc: 0.00% Time elapsed: 0.41 min Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6082 | Dis Loss (Avg): 1.1810 | Real Acc: 100.00% | Fake Acc: 56.25% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.6017 | Dis Loss (Avg): 1.1727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5952 | Dis Loss (Avg): 1.1639 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5892 | Dis Loss (Avg): 1.1550 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5818 | Dis Loss (Avg): 1.1467 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5777 | Dis Loss (Avg): 1.1382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5678 | Dis Loss (Avg): 1.1381 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5591 | Dis Loss (Avg): 1.1311 | Real Acc: 100.00% | Fake Acc: 68.75% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5524 | Dis Loss (Avg): 1.1234 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5428 | Dis Loss (Avg): 1.1161 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5336 | Dis Loss (Avg): 1.1091 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5262 | Dis Loss (Avg): 1.1020 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5189 | Dis Loss (Avg): 1.0944 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5128 | Dis Loss (Avg): 1.0865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.5071 | Dis Loss (Avg): 1.0783 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/12 | Batch: 0/1 | Gen Loss (Avg): 1.4963 | Dis Loss (Avg): 1.0706 | Real Acc: 93.75% | Fake Acc: 0.00% Time elapsed: 0.48 min Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4872 | Dis Loss (Avg): 1.0654 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4813 | Dis Loss (Avg): 1.0589 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4792 | Dis Loss (Avg): 1.0511 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4697 | Dis Loss (Avg): 1.0528 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4635 | Dis Loss (Avg): 1.0485 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4619 | Dis Loss (Avg): 1.0412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4547 | Dis Loss (Avg): 1.0461 | Real Acc: 62.50% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4486 | Dis Loss (Avg): 1.0389 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4457 | Dis Loss (Avg): 1.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4370 | Dis Loss (Avg): 1.0251 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4301 | Dis Loss (Avg): 1.0191 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4257 | Dis Loss (Avg): 1.0125 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4189 | Dis Loss (Avg): 1.0071 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4129 | Dis Loss (Avg): 1.0004 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4081 | Dis Loss (Avg): 0.9935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/12 | Batch: 0/1 | Gen Loss (Avg): 1.4056 | Dis Loss (Avg): 0.9863 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.54 min Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3992 | Dis Loss (Avg): 0.9870 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3935 | Dis Loss (Avg): 0.9806 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3891 | Dis Loss (Avg): 0.9737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3807 | Dis Loss (Avg): 0.9680 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3747 | Dis Loss (Avg): 0.9634 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3701 | Dis Loss (Avg): 0.9569 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3659 | Dis Loss (Avg): 0.9500 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3610 | Dis Loss (Avg): 0.9434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3577 | Dis Loss (Avg): 0.9369 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3506 | Dis Loss (Avg): 0.9372 | Real Acc: 68.75% | Fake Acc: 0.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3455 | Dis Loss (Avg): 0.9318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3424 | Dis Loss (Avg): 0.9257 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3405 | Dis Loss (Avg): 0.9190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3351 | Dis Loss (Avg): 0.9215 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3307 | Dis Loss (Avg): 0.9154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/12 | Batch: 0/1 | Gen Loss (Avg): 1.3295 | Dis Loss (Avg): 0.9089 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.61 min Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3244 | Dis Loss (Avg): 0.9032 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3214 | Dis Loss (Avg): 0.8974 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3200 | Dis Loss (Avg): 0.8910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3142 | Dis Loss (Avg): 0.8915 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3110 | Dis Loss (Avg): 0.8862 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3104 | Dis Loss (Avg): 0.8800 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3081 | Dis Loss (Avg): 0.8734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2977 | Dis Loss (Avg): 0.8710 | Real Acc: 87.50% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2925 | Dis Loss (Avg): 0.8709 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.3007 | Dis Loss (Avg): 0.8654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2926 | Dis Loss (Avg): 0.8734 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2810 | Dis Loss (Avg): 0.8746 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2729 | Dis Loss (Avg): 0.8794 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2698 | Dis Loss (Avg): 0.8765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2647 | Dis Loss (Avg): 0.8722 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 10/12 | Batch: 0/1 | Gen Loss (Avg): 1.2608 | Dis Loss (Avg): 0.8667 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.68 min Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2582 | Dis Loss (Avg): 0.8609 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2534 | Dis Loss (Avg): 0.8563 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2493 | Dis Loss (Avg): 0.8509 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2468 | Dis Loss (Avg): 0.8452 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2458 | Dis Loss (Avg): 0.8391 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2427 | Dis Loss (Avg): 0.8338 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2341 | Dis Loss (Avg): 0.8300 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2287 | Dis Loss (Avg): 0.8283 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2262 | Dis Loss (Avg): 0.8236 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.8190 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2252 | Dis Loss (Avg): 0.8134 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.8126 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2171 | Dis Loss (Avg): 0.8081 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2156 | Dis Loss (Avg): 0.8035 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2113 | Dis Loss (Avg): 0.7981 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/12 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.7932 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.75 min Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.7884 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.7852 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.2003 | Dis Loss (Avg): 0.7801 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.7786 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1919 | Dis Loss (Avg): 0.7741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1897 | Dis Loss (Avg): 0.7693 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1889 | Dis Loss (Avg): 0.7641 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1854 | Dis Loss (Avg): 0.7597 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1822 | Dis Loss (Avg): 0.7552 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1764 | Dis Loss (Avg): 0.7526 | Real Acc: 81.25% | Fake Acc: 0.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1722 | Dis Loss (Avg): 0.7496 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.7453 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1687 | Dis Loss (Avg): 0.7405 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1669 | Dis Loss (Avg): 0.7361 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.7311 | Real Acc: 100.00% | Fake Acc: 100.00%
[I 2025-01-13 12:38:31,090] Trial 8 finished with value: 0.7290459909833029 and parameters: {'latent_dim': 153, 'lr_gen': 0.0003357870828493334, 'lr_discr': 0.0019387489454709185, 'batch_size': 40, 'num_epochs': 12}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 12/12 | Batch: 0/1 | Gen Loss (Avg): 1.1606 | Dis Loss (Avg): 0.7290 | Real Acc: 81.25% | Fake Acc: 0.00% Time elapsed: 0.82 min Total Training Time: 0.82 min Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0095 | Dis Loss (Avg): 0.0069 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.0094 | Dis Loss (Avg): 0.1595 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2235 | Dis Loss (Avg): 0.2259 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2213 | Dis Loss (Avg): 2.1205 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 0.2191 | Dis Loss (Avg): 4.1283 | Real Acc: 18.75% | Fake Acc: 0.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 1.9752 | Dis Loss (Avg): 4.4782 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.1643 | Dis Loss (Avg): 4.4507 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.2570 | Dis Loss (Avg): 4.4433 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3673 | Dis Loss (Avg): 4.5050 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3475 | Dis Loss (Avg): 4.6456 | Real Acc: 25.00% | Fake Acc: 43.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.3310 | Dis Loss (Avg): 4.6811 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4452 | Dis Loss (Avg): 4.6817 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 4.6776 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4778 | Dis Loss (Avg): 4.7341 | Real Acc: 62.50% | Fake Acc: 37.50% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.4958 | Dis Loss (Avg): 4.8450 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/18 | Batch: 0/1 | Gen Loss (Avg): 3.8332 | Dis Loss (Avg): 4.8201 | Real Acc: 75.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 3.9851 | Dis Loss (Avg): 4.9514 | Real Acc: 12.50% | Fake Acc: 81.25% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1157 | Dis Loss (Avg): 4.9991 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0874 | Dis Loss (Avg): 5.0312 | Real Acc: 25.00% | Fake Acc: 18.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1114 | Dis Loss (Avg): 5.0154 | Real Acc: 93.75% | Fake Acc: 75.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0778 | Dis Loss (Avg): 5.0196 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0972 | Dis Loss (Avg): 4.9936 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1449 | Dis Loss (Avg): 4.9485 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.1128 | Dis Loss (Avg): 5.0568 | Real Acc: 12.50% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.0782 | Dis Loss (Avg): 5.1297 | Real Acc: 18.75% | Fake Acc: 43.75% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.2154 | Dis Loss (Avg): 5.1702 | Real Acc: 87.50% | Fake Acc: 75.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3961 | Dis Loss (Avg): 5.1934 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3965 | Dis Loss (Avg): 5.2250 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.3569 | Dis Loss (Avg): 5.2315 | Real Acc: 50.00% | Fake Acc: 25.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4658 | Dis Loss (Avg): 5.2120 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4580 | Dis Loss (Avg): 5.2538 | Real Acc: 18.75% | Fake Acc: 100.00% Epoch: 2/18 | Batch: 0/1 | Gen Loss (Avg): 4.4156 | Dis Loss (Avg): 5.2318 | Real Acc: 31.25% | Fake Acc: 0.00% Time elapsed: 0.14 min Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3909 | Dis Loss (Avg): 5.1964 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3890 | Dis Loss (Avg): 5.1540 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3563 | Dis Loss (Avg): 5.1440 | Real Acc: 37.50% | Fake Acc: 75.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3477 | Dis Loss (Avg): 5.1088 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3442 | Dis Loss (Avg): 5.0673 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3713 | Dis Loss (Avg): 5.0316 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3475 | Dis Loss (Avg): 5.1027 | Real Acc: 6.25% | Fake Acc: 81.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3668 | Dis Loss (Avg): 5.1085 | Real Acc: 31.25% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.4083 | Dis Loss (Avg): 5.0615 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3820 | Dis Loss (Avg): 5.0170 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3592 | Dis Loss (Avg): 4.9725 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3462 | Dis Loss (Avg): 4.9281 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.3112 | Dis Loss (Avg): 4.9025 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2723 | Dis Loss (Avg): 4.8896 | Real Acc: 75.00% | Fake Acc: 12.50% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2718 | Dis Loss (Avg): 4.8529 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 3/18 | Batch: 0/1 | Gen Loss (Avg): 4.2377 | Dis Loss (Avg): 4.8400 | Real Acc: 43.75% | Fake Acc: 50.00% Time elapsed: 0.21 min Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.2170 | Dis Loss (Avg): 4.8015 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1790 | Dis Loss (Avg): 4.7617 | Real Acc: 68.75% | Fake Acc: 6.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1534 | Dis Loss (Avg): 4.7264 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1245 | Dis Loss (Avg): 4.6897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.1062 | Dis Loss (Avg): 4.6771 | Real Acc: 25.00% | Fake Acc: 68.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0774 | Dis Loss (Avg): 4.6545 | Real Acc: 50.00% | Fake Acc: 75.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0903 | Dis Loss (Avg): 4.6132 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0646 | Dis Loss (Avg): 4.5751 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0269 | Dis Loss (Avg): 4.5518 | Real Acc: 87.50% | Fake Acc: 6.25% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 4.0117 | Dis Loss (Avg): 4.5196 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9760 | Dis Loss (Avg): 4.4855 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9482 | Dis Loss (Avg): 4.4486 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.9148 | Dis Loss (Avg): 4.4127 | Real Acc: 50.00% | Fake Acc: 18.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8891 | Dis Loss (Avg): 4.3744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8549 | Dis Loss (Avg): 4.3376 | Real Acc: 43.75% | Fake Acc: 18.75% Epoch: 4/18 | Batch: 0/1 | Gen Loss (Avg): 3.8244 | Dis Loss (Avg): 4.3036 | Real Acc: 93.75% | Fake Acc: 68.75% Time elapsed: 0.28 min Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7943 | Dis Loss (Avg): 4.2662 | Real Acc: 75.00% | Fake Acc: 68.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7606 | Dis Loss (Avg): 4.2318 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7493 | Dis Loss (Avg): 4.1960 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.7176 | Dis Loss (Avg): 4.1678 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6888 | Dis Loss (Avg): 4.1340 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6706 | Dis Loss (Avg): 4.0973 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6364 | Dis Loss (Avg): 4.0666 | Real Acc: 62.50% | Fake Acc: 12.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.6020 | Dis Loss (Avg): 4.0409 | Real Acc: 93.75% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5753 | Dis Loss (Avg): 4.0109 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5555 | Dis Loss (Avg): 3.9762 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5274 | Dis Loss (Avg): 3.9500 | Real Acc: 43.75% | Fake Acc: 37.50% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.5037 | Dis Loss (Avg): 3.9174 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4727 | Dis Loss (Avg): 3.8859 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4434 | Dis Loss (Avg): 3.8563 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.4263 | Dis Loss (Avg): 3.8232 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/18 | Batch: 0/1 | Gen Loss (Avg): 3.3979 | Dis Loss (Avg): 3.8002 | Real Acc: 43.75% | Fake Acc: 31.25% Time elapsed: 0.34 min Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3768 | Dis Loss (Avg): 3.7688 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3779 | Dis Loss (Avg): 3.7369 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3492 | Dis Loss (Avg): 3.7203 | Real Acc: 43.75% | Fake Acc: 12.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3246 | Dis Loss (Avg): 3.6896 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.3108 | Dis Loss (Avg): 3.6567 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2824 | Dis Loss (Avg): 3.6302 | Real Acc: 43.75% | Fake Acc: 6.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2750 | Dis Loss (Avg): 3.6010 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2514 | Dis Loss (Avg): 3.5726 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2290 | Dis Loss (Avg): 3.5438 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2218 | Dis Loss (Avg): 3.5130 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.2001 | Dis Loss (Avg): 3.4958 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1742 | Dis Loss (Avg): 3.4679 | Real Acc: 75.00% | Fake Acc: 18.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1473 | Dis Loss (Avg): 3.4467 | Real Acc: 87.50% | Fake Acc: 12.50% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1286 | Dis Loss (Avg): 3.4210 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.1051 | Dis Loss (Avg): 3.3965 | Real Acc: 31.25% | Fake Acc: 75.00% Epoch: 6/18 | Batch: 0/1 | Gen Loss (Avg): 3.0966 | Dis Loss (Avg): 3.3666 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.41 min Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0779 | Dis Loss (Avg): 3.3375 | Real Acc: 87.50% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0523 | Dis Loss (Avg): 3.3155 | Real Acc: 68.75% | Fake Acc: 18.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0310 | Dis Loss (Avg): 3.2900 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 3.0080 | Dis Loss (Avg): 3.2671 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9915 | Dis Loss (Avg): 3.2405 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9731 | Dis Loss (Avg): 3.2141 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9656 | Dis Loss (Avg): 3.1865 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9529 | Dis Loss (Avg): 3.1639 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9302 | Dis Loss (Avg): 3.1395 | Real Acc: 56.25% | Fake Acc: 50.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.9185 | Dis Loss (Avg): 3.1140 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8983 | Dis Loss (Avg): 3.0916 | Real Acc: 62.50% | Fake Acc: 75.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8829 | Dis Loss (Avg): 3.0690 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8779 | Dis Loss (Avg): 3.0440 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8592 | Dis Loss (Avg): 3.0352 | Real Acc: 37.50% | Fake Acc: 56.25% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8550 | Dis Loss (Avg): 3.0102 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/18 | Batch: 0/1 | Gen Loss (Avg): 2.8376 | Dis Loss (Avg): 2.9863 | Real Acc: 56.25% | Fake Acc: 43.75% Time elapsed: 0.48 min Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8172 | Dis Loss (Avg): 2.9636 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.8088 | Dis Loss (Avg): 2.9397 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7900 | Dis Loss (Avg): 2.9214 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7660 | Dis Loss (Avg): 2.8984 | Real Acc: 75.00% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7507 | Dis Loss (Avg): 2.8758 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7401 | Dis Loss (Avg): 2.8528 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.7178 | Dis Loss (Avg): 2.8341 | Real Acc: 62.50% | Fake Acc: 18.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6966 | Dis Loss (Avg): 2.8168 | Real Acc: 87.50% | Fake Acc: 18.75% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6887 | Dis Loss (Avg): 2.7942 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6714 | Dis Loss (Avg): 2.7834 | Real Acc: 25.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6484 | Dis Loss (Avg): 2.7631 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6292 | Dis Loss (Avg): 2.7417 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.6158 | Dis Loss (Avg): 2.7187 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5973 | Dis Loss (Avg): 2.6952 | Real Acc: 93.75% | Fake Acc: 62.50% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5956 | Dis Loss (Avg): 2.6771 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 8/18 | Batch: 0/1 | Gen Loss (Avg): 2.5749 | Dis Loss (Avg): 2.6678 | Real Acc: 37.50% | Fake Acc: 25.00% Time elapsed: 0.55 min Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5639 | Dis Loss (Avg): 2.6481 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5461 | Dis Loss (Avg): 2.6281 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5388 | Dis Loss (Avg): 2.6071 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5208 | Dis Loss (Avg): 2.5908 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.5092 | Dis Loss (Avg): 2.5708 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4989 | Dis Loss (Avg): 2.5496 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4926 | Dis Loss (Avg): 2.5287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4812 | Dis Loss (Avg): 2.5117 | Real Acc: 50.00% | Fake Acc: 62.50% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4742 | Dis Loss (Avg): 2.4935 | Real Acc: 100.00% | Fake Acc: 81.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4605 | Dis Loss (Avg): 2.4753 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4423 | Dis Loss (Avg): 2.4624 | Real Acc: 18.75% | Fake Acc: 31.25% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4347 | Dis Loss (Avg): 2.4435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4174 | Dis Loss (Avg): 2.4273 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4198 | Dis Loss (Avg): 2.4071 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.4112 | Dis Loss (Avg): 2.3883 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/18 | Batch: 0/1 | Gen Loss (Avg): 2.3908 | Dis Loss (Avg): 2.3691 | Real Acc: 81.25% | Fake Acc: 6.25% Time elapsed: 0.62 min Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3759 | Dis Loss (Avg): 2.3544 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3650 | Dis Loss (Avg): 2.3363 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3483 | Dis Loss (Avg): 2.3176 | Real Acc: 75.00% | Fake Acc: 50.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3336 | Dis Loss (Avg): 2.3034 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3349 | Dis Loss (Avg): 2.2851 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3182 | Dis Loss (Avg): 2.2699 | Real Acc: 62.50% | Fake Acc: 43.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3224 | Dis Loss (Avg): 2.2514 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3132 | Dis Loss (Avg): 2.2351 | Real Acc: 81.25% | Fake Acc: 62.50% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3143 | Dis Loss (Avg): 2.2169 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3077 | Dis Loss (Avg): 2.1996 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3031 | Dis Loss (Avg): 2.1819 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3004 | Dis Loss (Avg): 2.1667 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3111 | Dis Loss (Avg): 2.1490 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 2.1410 | Real Acc: 50.00% | Fake Acc: 93.75% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.3117 | Dis Loss (Avg): 2.1244 | Real Acc: 81.25% | Fake Acc: 31.25% Epoch: 10/18 | Batch: 0/1 | Gen Loss (Avg): 2.2997 | Dis Loss (Avg): 2.1115 | Real Acc: 100.00% | Fake Acc: 68.75% Time elapsed: 0.69 min Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3108 | Dis Loss (Avg): 2.0937 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.2989 | Dis Loss (Avg): 2.0825 | Real Acc: 43.75% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3041 | Dis Loss (Avg): 2.0659 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3250 | Dis Loss (Avg): 2.0524 | Real Acc: 62.50% | Fake Acc: 81.25% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3218 | Dis Loss (Avg): 2.0357 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3226 | Dis Loss (Avg): 2.0228 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3228 | Dis Loss (Avg): 2.0065 | Real Acc: 68.75% | Fake Acc: 93.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3244 | Dis Loss (Avg): 1.9944 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 1.9780 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3279 | Dis Loss (Avg): 1.9763 | Real Acc: 25.00% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3283 | Dis Loss (Avg): 1.9632 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3231 | Dis Loss (Avg): 1.9478 | Real Acc: 68.75% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3412 | Dis Loss (Avg): 1.9338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3550 | Dis Loss (Avg): 1.9254 | Real Acc: 43.75% | Fake Acc: 68.75% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3762 | Dis Loss (Avg): 1.9095 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/18 | Batch: 0/1 | Gen Loss (Avg): 2.3841 | Dis Loss (Avg): 1.9003 | Real Acc: 62.50% | Fake Acc: 93.75% Time elapsed: 0.75 min Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3910 | Dis Loss (Avg): 1.8877 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3800 | Dis Loss (Avg): 1.8798 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4013 | Dis Loss (Avg): 1.8671 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3975 | Dis Loss (Avg): 1.8538 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3821 | Dis Loss (Avg): 1.8395 | Real Acc: 68.75% | Fake Acc: 56.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3836 | Dis Loss (Avg): 1.8305 | Real Acc: 93.75% | Fake Acc: 68.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3986 | Dis Loss (Avg): 1.8157 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3868 | Dis Loss (Avg): 1.8071 | Real Acc: 87.50% | Fake Acc: 50.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3826 | Dis Loss (Avg): 1.7948 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3985 | Dis Loss (Avg): 1.7820 | Real Acc: 50.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4034 | Dis Loss (Avg): 1.7889 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.3993 | Dis Loss (Avg): 1.7895 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4094 | Dis Loss (Avg): 1.7807 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4079 | Dis Loss (Avg): 1.7692 | Real Acc: 43.75% | Fake Acc: 43.75% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4078 | Dis Loss (Avg): 1.7595 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/18 | Batch: 0/1 | Gen Loss (Avg): 2.4053 | Dis Loss (Avg): 1.7495 | Real Acc: 43.75% | Fake Acc: 87.50% Time elapsed: 0.82 min Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4459 | Dis Loss (Avg): 1.7348 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.4976 | Dis Loss (Avg): 1.7197 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5097 | Dis Loss (Avg): 1.7150 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5423 | Dis Loss (Avg): 1.7071 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5442 | Dis Loss (Avg): 1.6947 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5618 | Dis Loss (Avg): 1.6820 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5963 | Dis Loss (Avg): 1.6676 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5711 | Dis Loss (Avg): 1.6576 | Real Acc: 56.25% | Fake Acc: 0.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5598 | Dis Loss (Avg): 1.6661 | Real Acc: 81.25% | Fake Acc: 43.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5784 | Dis Loss (Avg): 1.6584 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5786 | Dis Loss (Avg): 1.6458 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5861 | Dis Loss (Avg): 1.6407 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.5873 | Dis Loss (Avg): 1.6299 | Real Acc: 62.50% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6202 | Dis Loss (Avg): 1.6168 | Real Acc: 87.50% | Fake Acc: 93.75% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6415 | Dis Loss (Avg): 1.6054 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/18 | Batch: 0/1 | Gen Loss (Avg): 2.6926 | Dis Loss (Avg): 1.6038 | Real Acc: 50.00% | Fake Acc: 100.00% Time elapsed: 0.89 min Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.6930 | Dis Loss (Avg): 1.5910 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7142 | Dis Loss (Avg): 1.5819 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7101 | Dis Loss (Avg): 1.5743 | Real Acc: 68.75% | Fake Acc: 87.50% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7095 | Dis Loss (Avg): 1.5686 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7328 | Dis Loss (Avg): 1.5619 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7560 | Dis Loss (Avg): 1.5561 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7521 | Dis Loss (Avg): 1.5480 | Real Acc: 93.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7906 | Dis Loss (Avg): 1.5358 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7842 | Dis Loss (Avg): 1.5289 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7859 | Dis Loss (Avg): 1.5239 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7687 | Dis Loss (Avg): 1.5161 | Real Acc: 50.00% | Fake Acc: 25.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7574 | Dis Loss (Avg): 1.5154 | Real Acc: 81.25% | Fake Acc: 81.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7652 | Dis Loss (Avg): 1.5071 | Real Acc: 56.25% | Fake Acc: 93.75% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7466 | Dis Loss (Avg): 1.4962 | Real Acc: 56.25% | Fake Acc: 31.25% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7901 | Dis Loss (Avg): 1.4882 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/18 | Batch: 0/1 | Gen Loss (Avg): 2.7964 | Dis Loss (Avg): 1.4790 | Real Acc: 62.50% | Fake Acc: 81.25% Time elapsed: 0.96 min Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8074 | Dis Loss (Avg): 1.4710 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7853 | Dis Loss (Avg): 1.4642 | Real Acc: 50.00% | Fake Acc: 43.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7849 | Dis Loss (Avg): 1.4574 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7645 | Dis Loss (Avg): 1.4519 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7622 | Dis Loss (Avg): 1.4448 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7945 | Dis Loss (Avg): 1.4326 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7910 | Dis Loss (Avg): 1.4230 | Real Acc: 75.00% | Fake Acc: 75.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7868 | Dis Loss (Avg): 1.4247 | Real Acc: 100.00% | Fake Acc: 87.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7977 | Dis Loss (Avg): 1.4211 | Real Acc: 37.50% | Fake Acc: 81.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.7861 | Dis Loss (Avg): 1.4108 | Real Acc: 87.50% | Fake Acc: 62.50% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8352 | Dis Loss (Avg): 1.4038 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8360 | Dis Loss (Avg): 1.4001 | Real Acc: 68.75% | Fake Acc: 75.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8994 | Dis Loss (Avg): 1.3911 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8824 | Dis Loss (Avg): 1.3840 | Real Acc: 50.00% | Fake Acc: 56.25% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.8868 | Dis Loss (Avg): 1.3794 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 15/18 | Batch: 0/1 | Gen Loss (Avg): 2.9093 | Dis Loss (Avg): 1.3713 | Real Acc: 56.25% | Fake Acc: 87.50% Time elapsed: 1.03 min Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.8952 | Dis Loss (Avg): 1.3692 | Real Acc: 75.00% | Fake Acc: 62.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 2.9497 | Dis Loss (Avg): 1.3635 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0469 | Dis Loss (Avg): 1.3556 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0354 | Dis Loss (Avg): 1.3673 | Real Acc: 43.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0371 | Dis Loss (Avg): 1.3570 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0328 | Dis Loss (Avg): 1.3578 | Real Acc: 87.50% | Fake Acc: 87.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0339 | Dis Loss (Avg): 1.3583 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0289 | Dis Loss (Avg): 1.3514 | Real Acc: 68.75% | Fake Acc: 93.75% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0112 | Dis Loss (Avg): 1.3424 | Real Acc: 50.00% | Fake Acc: 75.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0102 | Dis Loss (Avg): 1.3382 | Real Acc: 56.25% | Fake Acc: 37.50% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0696 | Dis Loss (Avg): 1.3314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0659 | Dis Loss (Avg): 1.3282 | Real Acc: 75.00% | Fake Acc: 81.25% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0720 | Dis Loss (Avg): 1.3201 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.0861 | Dis Loss (Avg): 1.3236 | Real Acc: 31.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1175 | Dis Loss (Avg): 1.3221 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 16/18 | Batch: 0/1 | Gen Loss (Avg): 3.1181 | Dis Loss (Avg): 1.3244 | Real Acc: 31.25% | Fake Acc: 68.75% Time elapsed: 1.09 min Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1676 | Dis Loss (Avg): 1.3366 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1621 | Dis Loss (Avg): 1.3310 | Real Acc: 62.50% | Fake Acc: 68.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2043 | Dis Loss (Avg): 1.3207 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1897 | Dis Loss (Avg): 1.3142 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2113 | Dis Loss (Avg): 1.3044 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2003 | Dis Loss (Avg): 1.2958 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1847 | Dis Loss (Avg): 1.2944 | Real Acc: 68.75% | Fake Acc: 62.50% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2006 | Dis Loss (Avg): 1.2901 | Real Acc: 81.25% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1959 | Dis Loss (Avg): 1.2845 | Real Acc: 37.50% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.1929 | Dis Loss (Avg): 1.2798 | Real Acc: 68.75% | Fake Acc: 81.25% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2332 | Dis Loss (Avg): 1.2756 | Real Acc: 50.00% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2094 | Dis Loss (Avg): 1.2675 | Real Acc: 75.00% | Fake Acc: 50.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2772 | Dis Loss (Avg): 1.2603 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2617 | Dis Loss (Avg): 1.2600 | Real Acc: 31.25% | Fake Acc: 93.75% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2976 | Dis Loss (Avg): 1.2526 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 17/18 | Batch: 0/1 | Gen Loss (Avg): 3.2648 | Dis Loss (Avg): 1.2471 | Real Acc: 50.00% | Fake Acc: 0.00% Time elapsed: 1.16 min Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2580 | Dis Loss (Avg): 1.2520 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2804 | Dis Loss (Avg): 1.2435 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2923 | Dis Loss (Avg): 1.2422 | Real Acc: 50.00% | Fake Acc: 68.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2912 | Dis Loss (Avg): 1.2395 | Real Acc: 56.25% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2654 | Dis Loss (Avg): 1.2346 | Real Acc: 31.25% | Fake Acc: 37.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2872 | Dis Loss (Avg): 1.2285 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2587 | Dis Loss (Avg): 1.2220 | Real Acc: 50.00% | Fake Acc: 12.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2873 | Dis Loss (Avg): 1.2263 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.2957 | Dis Loss (Avg): 1.2220 | Real Acc: 75.00% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3041 | Dis Loss (Avg): 1.2256 | Real Acc: 25.00% | Fake Acc: 87.50% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3954 | Dis Loss (Avg): 1.2170 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3797 | Dis Loss (Avg): 1.2189 | Real Acc: 31.25% | Fake Acc: 56.25% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3772 | Dis Loss (Avg): 1.2155 | Real Acc: 93.75% | Fake Acc: 93.75% Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3900 | Dis Loss (Avg): 1.2137 | Real Acc: 62.50% | Fake Acc: 100.00%
[I 2025-01-13 12:39:45,497] Trial 9 finished with value: 1.207851473047716 and parameters: {'latent_dim': 192, 'lr_gen': 0.007949816826374323, 'lr_discr': 0.001811934400052134, 'batch_size': 16, 'num_epochs': 18}. Best is trial 4 with value: 0.33912804189778406.
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3861 | Dis Loss (Avg): 1.2062 | Real Acc: 50.00% | Fake Acc: 43.75%
Epoch: 18/18 | Batch: 0/1 | Gen Loss (Avg): 3.3958 | Dis Loss (Avg): 1.2079 | Real Acc: 93.75% | Fake Acc: 100.00%
Time elapsed: 1.23 min
Total Training Time: 1.23 min
Best hyperparameters: {'latent_dim': 189, 'lr_gen': 0.001221490964348859, 'lr_discr': 0.0003257527184873621, 'batch_size': 49, 'num_epochs': 6}
In [41]:
optuna.visualization.plot_optimization_history(study)
In [42]:
log_dict_gan = train_gan_v1(num_epochs=GAN_EPOCHS, model=modelGAN,
optimizer_gen=optim_gen,
optimizer_discr=optim_discr,
latent_dim=189,
device=device,
train_loader=train_loader,
logging_interval=100,
save_model='gan_mnist_01.pt')
Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0073 | Dis Loss (Avg): 0.0069 | Real Acc: 68.75% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0151 | Dis Loss (Avg): 0.0127 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0234 | Dis Loss (Avg): 0.0187 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0324 | Dis Loss (Avg): 0.0242 | Real Acc: 75.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0423 | Dis Loss (Avg): 0.0279 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0531 | Dis Loss (Avg): 0.0302 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0651 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0784 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.0929 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1089 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1264 | Dis Loss (Avg): 0.0364 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1451 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1652 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.1865 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2090 | Dis Loss (Avg): 0.0381 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 1/50 | Batch: 0/1 | Gen Loss (Avg): 0.2326 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.07 min Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2572 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.2826 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3089 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3359 | Dis Loss (Avg): 0.0384 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3635 | Dis Loss (Avg): 0.0383 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.3916 | Dis Loss (Avg): 0.0382 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4202 | Dis Loss (Avg): 0.0380 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4493 | Dis Loss (Avg): 0.0379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.4787 | Dis Loss (Avg): 0.0377 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5085 | Dis Loss (Avg): 0.0376 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5386 | Dis Loss (Avg): 0.0374 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5690 | Dis Loss (Avg): 0.0372 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.5996 | Dis Loss (Avg): 0.0370 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6304 | Dis Loss (Avg): 0.0367 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6614 | Dis Loss (Avg): 0.0365 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 2/50 | Batch: 0/1 | Gen Loss (Avg): 0.6925 | Dis Loss (Avg): 0.0363 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.14 min Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7237 | Dis Loss (Avg): 0.0362 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7551 | Dis Loss (Avg): 0.0359 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.7866 | Dis Loss (Avg): 0.0357 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8181 | Dis Loss (Avg): 0.0355 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8494 | Dis Loss (Avg): 0.0353 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.8809 | Dis Loss (Avg): 0.0351 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9123 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9437 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 0.9749 | Dis Loss (Avg): 0.0345 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0061 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.0340 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0682 | Dis Loss (Avg): 0.0338 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1590 | Dis Loss (Avg): 0.0333 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 3/50 | Batch: 0/1 | Gen Loss (Avg): 1.1888 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.21 min Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2184 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2474 | Dis Loss (Avg): 0.0331 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.2759 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3043 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3308 | Dis Loss (Avg): 0.0327 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3565 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.3816 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4054 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4286 | Dis Loss (Avg): 0.0322 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4504 | Dis Loss (Avg): 0.0350 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4715 | Dis Loss (Avg): 0.0348 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.4922 | Dis Loss (Avg): 0.0346 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5127 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5328 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5528 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 4/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.28 min Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.5917 | Dis Loss (Avg): 0.0339 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6105 | Dis Loss (Avg): 0.0337 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6295 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6476 | Dis Loss (Avg): 0.0337 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6648 | Dis Loss (Avg): 0.0336 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6817 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.6985 | Dis Loss (Avg): 0.0334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7150 | Dis Loss (Avg): 0.0332 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7311 | Dis Loss (Avg): 0.0331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7470 | Dis Loss (Avg): 0.0330 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7629 | Dis Loss (Avg): 0.0328 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7780 | Dis Loss (Avg): 0.0327 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.7932 | Dis Loss (Avg): 0.0326 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8085 | Dis Loss (Avg): 0.0325 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8234 | Dis Loss (Avg): 0.0324 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 5/50 | Batch: 0/1 | Gen Loss (Avg): 1.8377 | Dis Loss (Avg): 0.0323 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.35 min Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8525 | Dis Loss (Avg): 0.0321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8663 | Dis Loss (Avg): 0.0320 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8804 | Dis Loss (Avg): 0.0319 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.8945 | Dis Loss (Avg): 0.0318 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9081 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9213 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9343 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9471 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9611 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9736 | Dis Loss (Avg): 0.0318 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9850 | Dis Loss (Avg): 0.0317 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 1.9970 | Dis Loss (Avg): 0.0316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0093 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0199 | Dis Loss (Avg): 0.0315 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0309 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 6/50 | Batch: 0/1 | Gen Loss (Avg): 2.0422 | Dis Loss (Avg): 0.0314 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.42 min Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0521 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0629 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0737 | Dis Loss (Avg): 0.0313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0837 | Dis Loss (Avg): 0.0312 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.0930 | Dis Loss (Avg): 0.0336 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1024 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1100 | Dis Loss (Avg): 0.0335 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1160 | Dis Loss (Avg): 0.0341 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1220 | Dis Loss (Avg): 0.0341 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1282 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1337 | Dis Loss (Avg): 0.0342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1399 | Dis Loss (Avg): 0.0343 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1450 | Dis Loss (Avg): 0.0344 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1490 | Dis Loss (Avg): 0.0407 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1510 | Dis Loss (Avg): 0.0408 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 7/50 | Batch: 0/1 | Gen Loss (Avg): 2.1525 | Dis Loss (Avg): 0.0410 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.50 min Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1549 | Dis Loss (Avg): 0.0412 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1574 | Dis Loss (Avg): 0.0413 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1608 | Dis Loss (Avg): 0.0414 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1633 | Dis Loss (Avg): 0.0417 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1660 | Dis Loss (Avg): 0.0418 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1688 | Dis Loss (Avg): 0.0420 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1721 | Dis Loss (Avg): 0.0421 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1753 | Dis Loss (Avg): 0.0422 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1792 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1828 | Dis Loss (Avg): 0.0423 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1868 | Dis Loss (Avg): 0.0424 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1907 | Dis Loss (Avg): 0.0425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1944 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.1983 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2033 | Dis Loss (Avg): 0.0426 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 8/50 | Batch: 0/1 | Gen Loss (Avg): 2.2071 | Dis Loss (Avg): 0.0427 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.56 min Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2109 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2144 | Dis Loss (Avg): 0.0428 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2187 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2228 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2272 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2323 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2368 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2416 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2466 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2522 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2570 | Dis Loss (Avg): 0.0429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2618 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2663 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2707 | Dis Loss (Avg): 0.0430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2751 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 9/50 | Batch: 0/1 | Gen Loss (Avg): 2.2794 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.63 min Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2842 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2888 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2926 | Dis Loss (Avg): 0.0431 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.2969 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3009 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3053 | Dis Loss (Avg): 0.0432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3085 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3119 | Dis Loss (Avg): 0.0433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3156 | Dis Loss (Avg): 0.0434 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3185 | Dis Loss (Avg): 0.0435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3210 | Dis Loss (Avg): 0.0436 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3232 | Dis Loss (Avg): 0.0437 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3251 | Dis Loss (Avg): 0.0439 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3270 | Dis Loss (Avg): 0.0440 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3285 | Dis Loss (Avg): 0.0442 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 10/50 | Batch: 0/1 | Gen Loss (Avg): 2.3297 | Dis Loss (Avg): 0.0444 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.70 min Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3310 | Dis Loss (Avg): 0.0445 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3315 | Dis Loss (Avg): 0.0453 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3316 | Dis Loss (Avg): 0.0456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3312 | Dis Loss (Avg): 0.0458 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3291 | Dis Loss (Avg): 0.0531 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3261 | Dis Loss (Avg): 0.0535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3227 | Dis Loss (Avg): 0.0539 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3189 | Dis Loss (Avg): 0.0544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3153 | Dis Loss (Avg): 0.0549 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3114 | Dis Loss (Avg): 0.0554 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3073 | Dis Loss (Avg): 0.0560 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.3032 | Dis Loss (Avg): 0.0565 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2985 | Dis Loss (Avg): 0.0574 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2930 | Dis Loss (Avg): 0.0581 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2880 | Dis Loss (Avg): 0.0588 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 11/50 | Batch: 0/1 | Gen Loss (Avg): 2.2825 | Dis Loss (Avg): 0.0594 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.77 min Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2760 | Dis Loss (Avg): 0.0635 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2692 | Dis Loss (Avg): 0.0643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2625 | Dis Loss (Avg): 0.0727 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2554 | Dis Loss (Avg): 0.0734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2479 | Dis Loss (Avg): 0.0743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2397 | Dis Loss (Avg): 0.0849 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2308 | Dis Loss (Avg): 0.0858 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2222 | Dis Loss (Avg): 0.0868 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2135 | Dis Loss (Avg): 0.0877 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.2041 | Dis Loss (Avg): 0.0888 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1949 | Dis Loss (Avg): 0.0899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1865 | Dis Loss (Avg): 0.0908 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1776 | Dis Loss (Avg): 0.0967 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1685 | Dis Loss (Avg): 0.0978 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1592 | Dis Loss (Avg): 0.0991 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 12/50 | Batch: 0/1 | Gen Loss (Avg): 2.1494 | Dis Loss (Avg): 0.1002 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.84 min Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1401 | Dis Loss (Avg): 0.1012 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1306 | Dis Loss (Avg): 0.1023 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1218 | Dis Loss (Avg): 0.1033 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1122 | Dis Loss (Avg): 0.1045 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.1042 | Dis Loss (Avg): 0.1053 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0959 | Dis Loss (Avg): 0.1061 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0879 | Dis Loss (Avg): 0.1069 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0799 | Dis Loss (Avg): 0.1077 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0728 | Dis Loss (Avg): 0.1084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0656 | Dis Loss (Avg): 0.1091 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0589 | Dis Loss (Avg): 0.1097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0529 | Dis Loss (Avg): 0.1101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0463 | Dis Loss (Avg): 0.1163 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0398 | Dis Loss (Avg): 0.1168 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0337 | Dis Loss (Avg): 0.1172 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 13/50 | Batch: 0/1 | Gen Loss (Avg): 2.0271 | Dis Loss (Avg): 0.1178 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.91 min Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0207 | Dis Loss (Avg): 0.1208 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0138 | Dis Loss (Avg): 0.1213 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0073 | Dis Loss (Avg): 0.1219 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 2.0009 | Dis Loss (Avg): 0.1225 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9950 | Dis Loss (Avg): 0.1233 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9890 | Dis Loss (Avg): 0.1248 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9818 | Dis Loss (Avg): 0.1255 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9751 | Dis Loss (Avg): 0.1261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9677 | Dis Loss (Avg): 0.1270 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9607 | Dis Loss (Avg): 0.1278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9524 | Dis Loss (Avg): 0.1309 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9437 | Dis Loss (Avg): 0.1321 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9348 | Dis Loss (Avg): 0.1334 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9262 | Dis Loss (Avg): 0.1347 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9180 | Dis Loss (Avg): 0.1358 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 14/50 | Batch: 0/1 | Gen Loss (Avg): 1.9098 | Dis Loss (Avg): 0.1370 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 0.98 min Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.9023 | Dis Loss (Avg): 0.1378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8950 | Dis Loss (Avg): 0.1387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8880 | Dis Loss (Avg): 0.1395 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8815 | Dis Loss (Avg): 0.1401 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8754 | Dis Loss (Avg): 0.1407 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8697 | Dis Loss (Avg): 0.1411 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8644 | Dis Loss (Avg): 0.1415 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8593 | Dis Loss (Avg): 0.1425 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8544 | Dis Loss (Avg): 0.1427 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8498 | Dis Loss (Avg): 0.1430 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8455 | Dis Loss (Avg): 0.1432 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8416 | Dis Loss (Avg): 0.1433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8378 | Dis Loss (Avg): 0.1436 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8319 | Dis Loss (Avg): 0.1456 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8252 | Dis Loss (Avg): 0.1529 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 15/50 | Batch: 0/1 | Gen Loss (Avg): 1.8186 | Dis Loss (Avg): 0.1536 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.05 min Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8121 | Dis Loss (Avg): 0.1544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8061 | Dis Loss (Avg): 0.1551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.8005 | Dis Loss (Avg): 0.1557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7949 | Dis Loss (Avg): 0.1589 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7893 | Dis Loss (Avg): 0.1594 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7841 | Dis Loss (Avg): 0.1598 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7790 | Dis Loss (Avg): 0.1602 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7723 | Dis Loss (Avg): 0.1617 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7648 | Dis Loss (Avg): 0.1626 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7575 | Dis Loss (Avg): 0.1636 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7506 | Dis Loss (Avg): 0.1646 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7443 | Dis Loss (Avg): 0.1654 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7383 | Dis Loss (Avg): 0.1661 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7329 | Dis Loss (Avg): 0.1666 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7279 | Dis Loss (Avg): 0.1670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 16/50 | Batch: 0/1 | Gen Loss (Avg): 1.7232 | Dis Loss (Avg): 0.1673 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.11 min Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7176 | Dis Loss (Avg): 0.1701 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7121 | Dis Loss (Avg): 0.1705 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7067 | Dis Loss (Avg): 0.1710 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.7012 | Dis Loss (Avg): 0.1715 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6960 | Dis Loss (Avg): 0.1719 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6888 | Dis Loss (Avg): 0.1767 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6813 | Dis Loss (Avg): 0.1776 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6722 | Dis Loss (Avg): 0.1819 | Real Acc: 93.75% | Fake Acc: 87.50% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6629 | Dis Loss (Avg): 0.1839 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6540 | Dis Loss (Avg): 0.1858 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6462 | Dis Loss (Avg): 0.1873 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6389 | Dis Loss (Avg): 0.1885 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6322 | Dis Loss (Avg): 0.1895 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6259 | Dis Loss (Avg): 0.1904 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6202 | Dis Loss (Avg): 0.1910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 17/50 | Batch: 0/1 | Gen Loss (Avg): 1.6148 | Dis Loss (Avg): 0.1915 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.18 min Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6098 | Dis Loss (Avg): 0.1919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.6050 | Dis Loss (Avg): 0.1922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5995 | Dis Loss (Avg): 0.1952 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5938 | Dis Loss (Avg): 0.1956 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5883 | Dis Loss (Avg): 0.1962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5827 | Dis Loss (Avg): 0.2055 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5774 | Dis Loss (Avg): 0.2059 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5724 | Dis Loss (Avg): 0.2062 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5677 | Dis Loss (Avg): 0.2065 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5632 | Dis Loss (Avg): 0.2068 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5576 | Dis Loss (Avg): 0.2079 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5518 | Dis Loss (Avg): 0.2084 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5463 | Dis Loss (Avg): 0.2090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5414 | Dis Loss (Avg): 0.2094 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5369 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 18/50 | Batch: 0/1 | Gen Loss (Avg): 1.5332 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.25 min Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5298 | Dis Loss (Avg): 0.2100 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5270 | Dis Loss (Avg): 0.2098 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5234 | Dis Loss (Avg): 0.2192 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5200 | Dis Loss (Avg): 0.2190 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5170 | Dis Loss (Avg): 0.2188 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5144 | Dis Loss (Avg): 0.2186 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5121 | Dis Loss (Avg): 0.2183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5104 | Dis Loss (Avg): 0.2178 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5090 | Dis Loss (Avg): 0.2173 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5075 | Dis Loss (Avg): 0.2168 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5063 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5051 | Dis Loss (Avg): 0.2157 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5041 | Dis Loss (Avg): 0.2152 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5031 | Dis Loss (Avg): 0.2146 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.5002 | Dis Loss (Avg): 0.2161 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 19/50 | Batch: 0/1 | Gen Loss (Avg): 1.4961 | Dis Loss (Avg): 0.2160 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.32 min Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4917 | Dis Loss (Avg): 0.2161 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4877 | Dis Loss (Avg): 0.2163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4838 | Dis Loss (Avg): 0.2165 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4802 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4768 | Dis Loss (Avg): 0.2167 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4725 | Dis Loss (Avg): 0.2247 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4682 | Dis Loss (Avg): 0.2248 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4636 | Dis Loss (Avg): 0.2250 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4594 | Dis Loss (Avg): 0.2252 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4551 | Dis Loss (Avg): 0.2254 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4498 | Dis Loss (Avg): 0.2291 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4440 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4381 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4321 | Dis Loss (Avg): 0.2309 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4264 | Dis Loss (Avg): 0.2316 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 20/50 | Batch: 0/1 | Gen Loss (Avg): 1.4198 | Dis Loss (Avg): 0.2351 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 1.38 min Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4131 | Dis Loss (Avg): 0.2360 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4066 | Dis Loss (Avg): 0.2370 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.4004 | Dis Loss (Avg): 0.2379 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3947 | Dis Loss (Avg): 0.2387 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3896 | Dis Loss (Avg): 0.2392 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3847 | Dis Loss (Avg): 0.2397 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3803 | Dis Loss (Avg): 0.2400 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3752 | Dis Loss (Avg): 0.2421 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3699 | Dis Loss (Avg): 0.2425 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3650 | Dis Loss (Avg): 0.2429 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3603 | Dis Loss (Avg): 0.2433 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3561 | Dis Loss (Avg): 0.2435 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3523 | Dis Loss (Avg): 0.2437 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3475 | Dis Loss (Avg): 0.2448 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3426 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 21/50 | Batch: 0/1 | Gen Loss (Avg): 1.3378 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.45 min Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3333 | Dis Loss (Avg): 0.2459 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3291 | Dis Loss (Avg): 0.2462 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3253 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3218 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3187 | Dis Loss (Avg): 0.2471 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3160 | Dis Loss (Avg): 0.2469 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3136 | Dis Loss (Avg): 0.2467 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3114 | Dis Loss (Avg): 0.2464 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3093 | Dis Loss (Avg): 0.2460 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3075 | Dis Loss (Avg): 0.2456 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3046 | Dis Loss (Avg): 0.2512 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.3012 | Dis Loss (Avg): 0.2510 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2968 | Dis Loss (Avg): 0.2530 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2920 | Dis Loss (Avg): 0.2534 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2873 | Dis Loss (Avg): 0.2538 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 22/50 | Batch: 0/1 | Gen Loss (Avg): 1.2826 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.52 min Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2783 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2741 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2704 | Dis Loss (Avg): 0.2553 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2667 | Dis Loss (Avg): 0.2556 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2633 | Dis Loss (Avg): 0.2557 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2599 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2567 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2537 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2509 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2482 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2450 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2419 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2389 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2359 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2330 | Dis Loss (Avg): 0.2559 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 23/50 | Batch: 0/1 | Gen Loss (Avg): 1.2290 | Dis Loss (Avg): 0.2626 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 1.59 min Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2242 | Dis Loss (Avg): 0.2632 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2185 | Dis Loss (Avg): 0.2670 | Real Acc: 93.75% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2126 | Dis Loss (Avg): 0.2681 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2067 | Dis Loss (Avg): 0.2694 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.2011 | Dis Loss (Avg): 0.2705 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1958 | Dis Loss (Avg): 0.2716 | Real Acc: 100.00% | Fake Acc: 6.25% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1909 | Dis Loss (Avg): 0.2726 | Real Acc: 100.00% | Fake Acc: 62.50% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1862 | Dis Loss (Avg): 0.2733 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1820 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1782 | Dis Loss (Avg): 0.2744 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1748 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1717 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1689 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1665 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1643 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 24/50 | Batch: 0/1 | Gen Loss (Avg): 1.1613 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.66 min Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1582 | Dis Loss (Avg): 0.2747 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1550 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1522 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1496 | Dis Loss (Avg): 0.2749 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1474 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1456 | Dis Loss (Avg): 0.2746 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1441 | Dis Loss (Avg): 0.2743 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1420 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1408 | Dis Loss (Avg): 0.2762 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1384 | Dis Loss (Avg): 0.2763 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1356 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1326 | Dis Loss (Avg): 0.2764 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1298 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 25/50 | Batch: 0/1 | Gen Loss (Avg): 1.1250 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.73 min Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1231 | Dis Loss (Avg): 0.2765 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1215 | Dis Loss (Avg): 0.2763 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1202 | Dis Loss (Avg): 0.2760 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1192 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1181 | Dis Loss (Avg): 0.2752 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1166 | Dis Loss (Avg): 0.2751 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1150 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1137 | Dis Loss (Avg): 0.2745 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1124 | Dis Loss (Avg): 0.2742 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1115 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1098 | Dis Loss (Avg): 0.2742 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1079 | Dis Loss (Avg): 0.2740 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1061 | Dis Loss (Avg): 0.2739 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.1031 | Dis Loss (Avg): 0.2753 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0997 | Dis Loss (Avg): 0.2756 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 26/50 | Batch: 0/1 | Gen Loss (Avg): 1.0963 | Dis Loss (Avg): 0.2761 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.80 min Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0902 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0877 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0855 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0837 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0821 | Dis Loss (Avg): 0.2775 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0808 | Dis Loss (Avg): 0.2773 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0793 | Dis Loss (Avg): 0.2766 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0788 | Dis Loss (Avg): 0.2762 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0770 | Dis Loss (Avg): 0.2770 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0746 | Dis Loss (Avg): 0.2770 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0720 | Dis Loss (Avg): 0.2772 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0691 | Dis Loss (Avg): 0.2777 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0661 | Dis Loss (Avg): 0.2782 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 27/50 | Batch: 0/1 | Gen Loss (Avg): 1.0622 | Dis Loss (Avg): 0.2807 | Real Acc: 87.50% | Fake Acc: 12.50% Time elapsed: 1.87 min Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2817 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0539 | Dis Loss (Avg): 0.2828 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0500 | Dis Loss (Avg): 0.2839 | Real Acc: 100.00% | Fake Acc: 0.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0466 | Dis Loss (Avg): 0.2848 | Real Acc: 100.00% | Fake Acc: 75.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0435 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0408 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0386 | Dis Loss (Avg): 0.2863 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0367 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0353 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0343 | Dis Loss (Avg): 0.2864 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0336 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0335 | Dis Loss (Avg): 0.2857 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0324 | Dis Loss (Avg): 0.2918 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0301 | Dis Loss (Avg): 0.2928 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0274 | Dis Loss (Avg): 0.2930 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 28/50 | Batch: 0/1 | Gen Loss (Avg): 1.0248 | Dis Loss (Avg): 0.2933 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 1.94 min Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0206 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0191 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2935 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2901 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0187 | Dis Loss (Avg): 0.2934 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0180 | Dis Loss (Avg): 0.2928 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0173 | Dis Loss (Avg): 0.2924 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0168 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 29/50 | Batch: 0/1 | Gen Loss (Avg): 1.0169 | Dis Loss (Avg): 0.2909 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.01 min Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0172 | Dis Loss (Avg): 0.2904 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0177 | Dis Loss (Avg): 0.2897 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0185 | Dis Loss (Avg): 0.2889 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2897 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2891 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0186 | Dis Loss (Avg): 0.2886 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2880 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2875 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2871 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0190 | Dis Loss (Avg): 0.2866 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0193 | Dis Loss (Avg): 0.2861 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0201 | Dis Loss (Avg): 0.2855 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2849 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0226 | Dis Loss (Avg): 0.2841 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2833 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 30/50 | Batch: 0/1 | Gen Loss (Avg): 1.0231 | Dis Loss (Avg): 0.2872 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.08 min Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0215 | Dis Loss (Avg): 0.2870 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0189 | Dis Loss (Avg): 0.2903 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0163 | Dis Loss (Avg): 0.2908 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0141 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2915 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0108 | Dis Loss (Avg): 0.2913 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0107 | Dis Loss (Avg): 0.2910 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0113 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0103 | Dis Loss (Avg): 0.2925 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2923 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 31/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.15 min Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0074 | Dis Loss (Avg): 0.2906 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.2898 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3152 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0084 | Dis Loss (Avg): 0.3144 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0083 | Dis Loss (Avg): 0.3131 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0088 | Dis Loss (Avg): 0.3123 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0089 | Dis Loss (Avg): 0.3116 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0090 | Dis Loss (Avg): 0.3109 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0081 | Dis Loss (Avg): 0.3121 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0070 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0060 | Dis Loss (Avg): 0.3114 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0041 | Dis Loss (Avg): 0.3117 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0020 | Dis Loss (Avg): 0.3118 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 1.0002 | Dis Loss (Avg): 0.3119 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 32/50 | Batch: 0/1 | Gen Loss (Avg): 0.9982 | Dis Loss (Avg): 0.3125 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.22 min Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9964 | Dis Loss (Avg): 0.3125 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3122 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3117 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9944 | Dis Loss (Avg): 0.3111 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9952 | Dis Loss (Avg): 0.3103 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3094 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9959 | Dis Loss (Avg): 0.3094 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3095 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9911 | Dis Loss (Avg): 0.3097 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9886 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9853 | Dis Loss (Avg): 0.3105 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9845 | Dis Loss (Avg): 0.3104 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9843 | Dis Loss (Avg): 0.3101 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 33/50 | Batch: 0/1 | Gen Loss (Avg): 0.9846 | Dis Loss (Avg): 0.3095 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.29 min Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9854 | Dis Loss (Avg): 0.3087 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9867 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9864 | Dis Loss (Avg): 0.3115 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9852 | Dis Loss (Avg): 0.3139 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9835 | Dis Loss (Avg): 0.3142 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9821 | Dis Loss (Avg): 0.3142 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9810 | Dis Loss (Avg): 0.3141 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3138 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3133 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9806 | Dis Loss (Avg): 0.3128 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9812 | Dis Loss (Avg): 0.3121 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9809 | Dis Loss (Avg): 0.3166 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3160 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9803 | Dis Loss (Avg): 0.3154 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9805 | Dis Loss (Avg): 0.3148 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 34/50 | Batch: 0/1 | Gen Loss (Avg): 0.9800 | Dis Loss (Avg): 0.3162 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 2.36 min Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9794 | Dis Loss (Avg): 0.3160 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9790 | Dis Loss (Avg): 0.3149 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9785 | Dis Loss (Avg): 0.3189 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9780 | Dis Loss (Avg): 0.3183 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3177 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9778 | Dis Loss (Avg): 0.3171 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9783 | Dis Loss (Avg): 0.3163 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9792 | Dis Loss (Avg): 0.3155 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9804 | Dis Loss (Avg): 0.3145 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9817 | Dis Loss (Avg): 0.3135 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9832 | Dis Loss (Avg): 0.3124 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9848 | Dis Loss (Avg): 0.3113 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9866 | Dis Loss (Avg): 0.3102 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9888 | Dis Loss (Avg): 0.3090 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 35/50 | Batch: 0/1 | Gen Loss (Avg): 0.9913 | Dis Loss (Avg): 0.3077 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.43 min Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9924 | Dis Loss (Avg): 0.3101 | Real Acc: 81.25% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3092 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9930 | Dis Loss (Avg): 0.3085 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9932 | Dis Loss (Avg): 0.3079 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9935 | Dis Loss (Avg): 0.3073 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9939 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9945 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9937 | Dis Loss (Avg): 0.3069 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3066 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9919 | Dis Loss (Avg): 0.3063 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9915 | Dis Loss (Avg): 0.3060 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9918 | Dis Loss (Avg): 0.3054 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9927 | Dis Loss (Avg): 0.3047 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9942 | Dis Loss (Avg): 0.3038 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9963 | Dis Loss (Avg): 0.3028 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 36/50 | Batch: 0/1 | Gen Loss (Avg): 0.9987 | Dis Loss (Avg): 0.3016 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.49 min Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0013 | Dis Loss (Avg): 0.3004 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0023 | Dis Loss (Avg): 0.3051 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0027 | Dis Loss (Avg): 0.3042 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0032 | Dis Loss (Avg): 0.3035 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0039 | Dis Loss (Avg): 0.3027 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0050 | Dis Loss (Avg): 0.3019 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0064 | Dis Loss (Avg): 0.3010 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0082 | Dis Loss (Avg): 0.3000 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0101 | Dis Loss (Avg): 0.2991 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0122 | Dis Loss (Avg): 0.2980 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0124 | Dis Loss (Avg): 0.2984 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0121 | Dis Loss (Avg): 0.2978 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0118 | Dis Loss (Avg): 0.2973 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0120 | Dis Loss (Avg): 0.2968 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0126 | Dis Loss (Avg): 0.2962 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 37/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.56 min Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0153 | Dis Loss (Avg): 0.2969 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0150 | Dis Loss (Avg): 0.2963 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0143 | Dis Loss (Avg): 0.2961 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0137 | Dis Loss (Avg): 0.2958 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0136 | Dis Loss (Avg): 0.2954 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0142 | Dis Loss (Avg): 0.2948 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0152 | Dis Loss (Avg): 0.2941 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0167 | Dis Loss (Avg): 0.2932 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0188 | Dis Loss (Avg): 0.2922 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0212 | Dis Loss (Avg): 0.2911 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0240 | Dis Loss (Avg): 0.2899 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0273 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0308 | Dis Loss (Avg): 0.2873 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0347 | Dis Loss (Avg): 0.2860 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 38/50 | Batch: 0/1 | Gen Loss (Avg): 1.0388 | Dis Loss (Avg): 0.2846 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.63 min Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0409 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0423 | Dis Loss (Avg): 0.2920 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0411 | Dis Loss (Avg): 0.2979 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2976 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0371 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0356 | Dis Loss (Avg): 0.2977 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0348 | Dis Loss (Avg): 0.2975 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0345 | Dis Loss (Avg): 0.2972 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0344 | Dis Loss (Avg): 0.2977 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0346 | Dis Loss (Avg): 0.2971 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0352 | Dis Loss (Avg): 0.2964 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0363 | Dis Loss (Avg): 0.2955 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0379 | Dis Loss (Avg): 0.2946 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0392 | Dis Loss (Avg): 0.2947 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0405 | Dis Loss (Avg): 0.2937 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 39/50 | Batch: 0/1 | Gen Loss (Avg): 1.0422 | Dis Loss (Avg): 0.2927 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.70 min Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0441 | Dis Loss (Avg): 0.2917 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2932 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0443 | Dis Loss (Avg): 0.2925 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0442 | Dis Loss (Avg): 0.2919 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0444 | Dis Loss (Avg): 0.2912 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0452 | Dis Loss (Avg): 0.2905 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0464 | Dis Loss (Avg): 0.2896 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0481 | Dis Loss (Avg): 0.2887 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0501 | Dis Loss (Avg): 0.2876 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0526 | Dis Loss (Avg): 0.2865 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0538 | Dis Loss (Avg): 0.2860 | Real Acc: 87.50% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0545 | Dis Loss (Avg): 0.2850 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0554 | Dis Loss (Avg): 0.2842 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0565 | Dis Loss (Avg): 0.2834 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0580 | Dis Loss (Avg): 0.2825 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 40/50 | Batch: 0/1 | Gen Loss (Avg): 1.0599 | Dis Loss (Avg): 0.2815 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.77 min Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0624 | Dis Loss (Avg): 0.2805 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0650 | Dis Loss (Avg): 0.2793 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0681 | Dis Loss (Avg): 0.2781 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0717 | Dis Loss (Avg): 0.2768 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0754 | Dis Loss (Avg): 0.2755 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0795 | Dis Loss (Avg): 0.2741 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0838 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0867 | Dis Loss (Avg): 0.2760 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0891 | Dis Loss (Avg): 0.2748 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2745 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0936 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0928 | Dis Loss (Avg): 0.2741 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0913 | Dis Loss (Avg): 0.2738 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0898 | Dis Loss (Avg): 0.2737 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 41/50 | Batch: 0/1 | Gen Loss (Avg): 1.0886 | Dis Loss (Avg): 0.2736 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.84 min Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0878 | Dis Loss (Avg): 0.2734 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2731 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0875 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0879 | Dis Loss (Avg): 0.2721 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2719 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0890 | Dis Loss (Avg): 0.2707 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0899 | Dis Loss (Avg): 0.2700 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0911 | Dis Loss (Avg): 0.2692 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2688 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0908 | Dis Loss (Avg): 0.2683 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0904 | Dis Loss (Avg): 0.2679 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0903 | Dis Loss (Avg): 0.2675 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0912 | Dis Loss (Avg): 0.2665 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 42/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.91 min Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0918 | Dis Loss (Avg): 0.2716 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2723 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0870 | Dis Loss (Avg): 0.2725 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0846 | Dis Loss (Avg): 0.2727 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0826 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0811 | Dis Loss (Avg): 0.2729 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0802 | Dis Loss (Avg): 0.2728 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0798 | Dis Loss (Avg): 0.2724 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0799 | Dis Loss (Avg): 0.2719 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0803 | Dis Loss (Avg): 0.2713 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0812 | Dis Loss (Avg): 0.2706 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0824 | Dis Loss (Avg): 0.2698 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0839 | Dis Loss (Avg): 0.2689 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0858 | Dis Loss (Avg): 0.2680 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2670 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 43/50 | Batch: 0/1 | Gen Loss (Avg): 1.0906 | Dis Loss (Avg): 0.2659 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 2.98 min Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2663 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0931 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0923 | Dis Loss (Avg): 0.2661 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0909 | Dis Loss (Avg): 0.2658 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0896 | Dis Loss (Avg): 0.2656 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0887 | Dis Loss (Avg): 0.2655 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2652 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0881 | Dis Loss (Avg): 0.2648 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0885 | Dis Loss (Avg): 0.2643 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0894 | Dis Loss (Avg): 0.2636 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0905 | Dis Loss (Avg): 0.2629 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0921 | Dis Loss (Avg): 0.2621 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0940 | Dis Loss (Avg): 0.2613 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0962 | Dis Loss (Avg): 0.2603 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.0987 | Dis Loss (Avg): 0.2594 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 44/50 | Batch: 0/1 | Gen Loss (Avg): 1.1014 | Dis Loss (Avg): 0.2584 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.05 min Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1044 | Dis Loss (Avg): 0.2573 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1056 | Dis Loss (Avg): 0.2593 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1062 | Dis Loss (Avg): 0.2586 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1066 | Dis Loss (Avg): 0.2580 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1070 | Dis Loss (Avg): 0.2575 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1076 | Dis Loss (Avg): 0.2570 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1085 | Dis Loss (Avg): 0.2564 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1097 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1112 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1132 | Dis Loss (Avg): 0.2543 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1152 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1170 | Dis Loss (Avg): 0.2532 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1187 | Dis Loss (Avg): 0.2524 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1206 | Dis Loss (Avg): 0.2516 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1226 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 45/50 | Batch: 0/1 | Gen Loss (Avg): 1.1248 | Dis Loss (Avg): 0.2500 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.12 min Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1249 | Dis Loss (Avg): 0.2554 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1245 | Dis Loss (Avg): 0.2550 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1239 | Dis Loss (Avg): 0.2547 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1237 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1238 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1244 | Dis Loss (Avg): 0.2535 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1256 | Dis Loss (Avg): 0.2529 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1273 | Dis Loss (Avg): 0.2522 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1290 | Dis Loss (Avg): 0.2567 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1310 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1327 | Dis Loss (Avg): 0.2549 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1345 | Dis Loss (Avg): 0.2540 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1365 | Dis Loss (Avg): 0.2532 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1387 | Dis Loss (Avg): 0.2523 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1412 | Dis Loss (Avg): 0.2513 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 46/50 | Batch: 0/1 | Gen Loss (Avg): 1.1423 | Dis Loss (Avg): 0.2566 | Real Acc: 93.75% | Fake Acc: 100.00% Time elapsed: 3.19 min Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1429 | Dis Loss (Avg): 0.2558 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1435 | Dis Loss (Avg): 0.2551 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1445 | Dis Loss (Avg): 0.2544 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1458 | Dis Loss (Avg): 0.2536 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1475 | Dis Loss (Avg): 0.2527 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1497 | Dis Loss (Avg): 0.2518 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1524 | Dis Loss (Avg): 0.2508 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1552 | Dis Loss (Avg): 0.2497 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1585 | Dis Loss (Avg): 0.2486 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1620 | Dis Loss (Avg): 0.2475 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1658 | Dis Loss (Avg): 0.2463 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1697 | Dis Loss (Avg): 0.2451 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1739 | Dis Loss (Avg): 0.2438 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1770 | Dis Loss (Avg): 0.2452 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1796 | Dis Loss (Avg): 0.2441 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 47/50 | Batch: 0/1 | Gen Loss (Avg): 1.1821 | Dis Loss (Avg): 0.2431 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.26 min Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1848 | Dis Loss (Avg): 0.2420 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1876 | Dis Loss (Avg): 0.2410 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1908 | Dis Loss (Avg): 0.2399 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1940 | Dis Loss (Avg): 0.2388 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1973 | Dis Loss (Avg): 0.2378 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.1996 | Dis Loss (Avg): 0.2373 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2013 | Dis Loss (Avg): 0.2364 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2029 | Dis Loss (Avg): 0.2355 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2046 | Dis Loss (Avg): 0.2347 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2064 | Dis Loss (Avg): 0.2339 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2083 | Dis Loss (Avg): 0.2331 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2103 | Dis Loss (Avg): 0.2323 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2124 | Dis Loss (Avg): 0.2314 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2147 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2169 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 48/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2318 | Real Acc: 87.50% | Fake Acc: 100.00% Time elapsed: 3.33 min Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2313 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2177 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2176 | Dis Loss (Avg): 0.2297 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2180 | Dis Loss (Avg): 0.2293 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2186 | Dis Loss (Avg): 0.2288 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2193 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2203 | Dis Loss (Avg): 0.2278 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2212 | Dis Loss (Avg): 0.2273 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2223 | Dis Loss (Avg): 0.2267 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2234 | Dis Loss (Avg): 0.2261 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2247 | Dis Loss (Avg): 0.2256 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2244 | Dis Loss (Avg): 0.2311 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2235 | Dis Loss (Avg): 0.2308 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 49/50 | Batch: 0/1 | Gen Loss (Avg): 1.2224 | Dis Loss (Avg): 0.2307 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.41 min Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2306 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2305 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2200 | Dis Loss (Avg): 0.2304 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2196 | Dis Loss (Avg): 0.2301 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2195 | Dis Loss (Avg): 0.2299 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2197 | Dis Loss (Avg): 0.2295 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2201 | Dis Loss (Avg): 0.2291 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2206 | Dis Loss (Avg): 0.2287 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2213 | Dis Loss (Avg): 0.2283 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2205 | Dis Loss (Avg): 0.2282 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2178 | Dis Loss (Avg): 0.2289 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2134 | Dis Loss (Avg): 0.2305 | Real Acc: 93.75% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2085 | Dis Loss (Avg): 0.2317 | Real Acc: 100.00% | Fake Acc: 93.75% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.2040 | Dis Loss (Avg): 0.2330 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1999 | Dis Loss (Avg): 0.2342 | Real Acc: 100.00% | Fake Acc: 100.00% Epoch: 50/50 | Batch: 0/1 | Gen Loss (Avg): 1.1965 | Dis Loss (Avg): 0.2351 | Real Acc: 100.00% | Fake Acc: 100.00% Time elapsed: 3.48 min Total Training Time: 3.48 min
In [43]:
plot_multiple_training_losses(
losses_list=(log_dict_gan['train_discriminator_loss_per_batch'],
log_dict_gan['train_generator_loss_per_batch']),
num_epochs=GAN_EPOCHS,
custom_labels_list=(' -- Discriminator', ' -- Generator')
)
plt.show()
In [44]:
##########################
### VISUALIZATION
##########################
for i in range(0, GAN_EPOCHS, 10):
plt.figure(figsize=(8, 8))
plt.axis('off')
plt.title(f'Generated images at epoch {i}')
plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][i], (1, 2, 0)))
plt.show()
plt.figure(figsize=(8, 8))
plt.axis('off')
plt.title(f'Generated images after last epoch')
plt.imshow(np.transpose(log_dict_gan['images_from_noise_per_epoch'][-1], (1, 2, 0)))
plt.show()
It was hard to work on the GAN, as the training takes a long time, so tuning hyperparamaters with epochs that make sense would take hours to complete. Experimenting with Batch Normalization and Deep Convolutional Layers also resulted in poor results, unsure if from using them wrong or having the wrong hyperparameters.
Conclusion ¶
In conclusion, the models are not great at generating new images, mostly as it would take a long time to tune the hyperparameters and the models might not be dense enough for the images.
In [ ]: